{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook we will see the basics of how to use MiniSom.\n",
    "\n",
    "Let's start importing MiniSom:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from minisom import MiniSom"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MiniSom relies on the Python ecosystem to import and preprocess the data. For this example we will load the <a href=\"https://archive.ics.uci.edu/ml/datasets/seeds\">seeds</a> dataset dataset using pandas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "columns=['area', 'perimeter', 'compactness', 'length_kernel', 'width_kernel',\n",
    "                   'asymmetry_coefficient', 'length_kernel_groove', 'target']\n",
    "data = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/00236/seeds_dataset.txt', \n",
    "                    names=columns, \n",
    "                   sep='\\t+', engine='python')\n",
    "target = data['target'].values\n",
    "label_names = {1:'Kama', 2:'Rosa', 3:'Canadian'}\n",
    "data = data[data.columns[:-1]]\n",
    "# data normalization\n",
    "data = (data - np.mean(data, axis=0)) / np.std(data, axis=0)\n",
    "data = data.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can initialize and train MiniSom as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ 1000 / 1000 ] 100% - 0:00:00 left \n",
      " quantization error: 0.6426435848319221\n"
     ]
    }
   ],
   "source": [
    "# Initialization and training\n",
    "n_neurons = 9\n",
    "m_neurons = 9\n",
    "som = MiniSom(n_neurons, m_neurons, data.shape[1], sigma=1.5, learning_rate=.5, \n",
    "              neighborhood_function='gaussian', random_seed=0)\n",
    "\n",
    "som.pca_weights_init(data)\n",
    "som.train(data, 1000, verbose=True)  # random training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To visualize the result of the training we can plot the distance map (U-Matrix) using a pseudocolor where the neurons of the maps are displayed as an array of cells and the color represents the (weights) distance from the neighbour neurons. On top of the pseudo color we can add markers that repesent the samples mapped in the specific cells:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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blhPsh4DrzKyZ7K74lwM7y9hOREQksAJwulsPsKrg8UqK5rA554aAdwNYdjfA/tztnKb9qZxzDwD/ATxM9tNCCNg2g8JFRETkbDuADWa2zsyiZM84+3bhADPrzD0H8FvAz3Nhf05lLVDjnPsL4C9mXrOIiEgw+b2krHMuZWbvBe4ieyr57c65p8zsd3LPfxbYCHzRzNJkJ9X95nSvq5XnREREfOKc2w5sL/raZwvu3wdsmMlrKthFRKQu+d2xV4rvMwdERERk7qhjFxGROqTLtoqIiEgVUMcuIiJ1x0zH2EVERKQKqGMXEZG6FICV5yqiNn8qERGROqWOXURE6pL5f9nWilDHLiIiUkOqpmMfSg4A0B7t9LWOmUjYGAAx1+xzJSIiMpllp8bXoKro2IeSA/zdE3/G3z3xZ/mAD7qEjfGLzjv4Recd+YAXERGptMAHuxfqR8cOc3TscFWEuxfqw5E+hiN9CncRkQAys4re/BLoXfGFod4eWk7GwdGxw9z26If58JW3BXK3fGGoR5OLcMBw9BQ/7/gmLxp8U2B3y+9Nd3CIdlKEiJBhNUNcGB70u6ySdvTF2DMaI+2MsDkuaklwzYKE32Wd03ODxu6BEMk0RMOwsTPDBR3O77JKGnJRTrqm/O/FYovTbkm/yyopsWgdyRWbcOEYlk4QPbKL2Kn9fpdVta76lytmtd0j735sjiuRcgU22IeSA/zVw39K38QR0olujh78DQCa1mzjJD380b1/wm+u/wuuXb3c50rPSNgYP+v4JvFIH+lEN30HtwLZmsdivdzV9i2u7PsVVkcafK70jEfSizlIBxTNDn2SRp5ML2YNg1wVPulPcefw/RMt9Iw3MKlmB48NN/PYcBMrGye4acmob/UV23kyxI7eMMnM5L/j54bCREOOa7rTbF6c8am6qZ10TTydWcBpij6IOljIGJeE+lhscX+KO4f4mquJr78WGmKTvj6xZAOjEwma9j1A08GHfapOgqhWV54LZLAPJQf4i50fYjB9lHSim8zR3+HFFyyjqzlC79gHeSzx96Rix/mnPX/B6ZH/wc2bVvtdMgkb4ycdd5JoOE060U3y0G+xLhKiOZRh5Ng7Obns3wjFetm54D8YO/VWLon6fxTkZ+kV9NNENiAdETJEyJAiRIoQYBykg+F0lBeFj/hcbdbXe9oYTofxajYgjCONke19jZ7xBr7e08ZbVw77WSoAPzgcZvdA9u8SHB1RR3MExlIwmDSSGeMXx8P0jRuvWpX2u1wADmTaedR1A0aEDMtthEZSjBPhqGvlNM38ItPEVdbLmtCQ3+UCMHLpK0ku35SdDOUcobEBLBnHRZvINHdCQ4z4RTeSbllA664f+V1uVSq3A59thy9zJ3DB7nXqXqi/tO1PeOvb1tEUDedGdNM7+hH++pEPMxo7xteP/jULW//S187d69S9UF994le5on2MhtCZ3awjg2/k553fhFgvuxZ9nea+X/a1c38kvTgf6o1McAOHaQufCZbhdJhfsIpxGuijiUfSi33v3L9/oiUf6hEyvHbJIIsbzzx/chy+e6KDFCGG02G+f6LF185958lQPtSXNmV47eoUrdEzz48k4buHIhyPZ8ctaHS+d+4nXVM+1C+yPjZYHw125vf4ea6XZ90C9rgFPOK6aXYTvnfu8TVX50M93H+Utse+Qyh5Zk5LJtrM8BWvI921nOSKS4mP9qlzl9xa8f43WJUQqJ/KO6bu7X5/aduf8OvXXlgQ6lndLQu5bctHabFlhGO9fH7fX/o2oc47ph4vCPXNTZlJoQ7Qak28fOgWGpKLCMd6eXTBv/s6oc7b/d7IBDeFD0wKdYC2cJqbwgdoZAKvc/ebt/s9QoZfXzM51AEWN8KvrxkkQgavc/fTjt7sh5ClTRneeuHkUAdojcJbL0yxtClbb3a8v57OLMAL9U2h05NCHaDBHJtCp7nI+gDLjfdXfP21+VDv2PGNSaEOEEqO0bHjG4T7j4JZdrwIlZ045+du/sAEe+FEOW/3+1uvWnfO8e3RTv7sqttwiSWkwse57dEPz3u4F06U83a/XxE792SomGvmxoE3kUl042In+XnHN30J971p75i64wYOlxx7PT2AAyy3nT929MXwan7tktKT+m5eMohXc3a7+ffcoOWOqTteuzpVcuzNq1OAI5kxnhv0781gyEU5TTMRMmywvpJjN1g/ETKcppkhFy05tpISi9Zlj6k7R9tj3yk5tu2x74Jz0BDLbidSowIR7MWz3+MHt3Ld6mVnderFlrQs5PLIH5JOdHMy0TOvp8IVz36PH9zK6nDkrE69WJs1sfjYO0knuhlrOO3LqXCHaAcgQuasTr1YezhFmMyk7fywZzQb0AZnderFuhvPTKvztptv2V3w0BF1Z3Xqxdqi0NHgJm3nh5OuCYDlNnJWp16swTIss5FJ2/khuWITAKGxgbM69WKh5CihscFJ20l9U8c+TzK595Ou5vIO/3c1+T9NwHsLbA6Vd3y0scxxlZLK/W+PUF4dDblxKR9/XdIu+48kTHmnh3njvO3mWzL3eanMX2O8X+Okj/PnvP+/jZTew+Bpyo3z8/fChXMf+JLlHee3XPh724nUokAEe3u0kz9+3t+wvHkVI+4oTWu20TtWelcgZDv9BxMfJxzrpT20nD9+3t/M27ntMdfMDQNvpi21gInoKZrWbGOE6d9cEjbG8aVfIhzrJZpcxA0Db573c9sjMwzqiRl+EKiEcK6DTJd50QZvXHiazrNSvJ1NY+VlJPHU5O384P3/HS9zTm08N87P3wtLZ9ctcNHy9hq4aPOk7aS+qWOvMC/cF8dWEo718ljq7+kdPX3O8UPJAT76+J8xbsdIJ7p5z4a/nPcFa7xwb55YSDjWy8ll/8aIO3e4J2yMezrvIB09STrRzfP7f8WXBWtWkz1FyZs9XspQOkI692vibeeHi1pyb+BkZ7+X0jt+Zi+Kt91829iZDbvBpDEyzXouw0kYnLBJ2/nBm91+1LUyMc2ejgkX4phrnbSdH6JHdgGQae4kEy39bykTbSHT3DFpO5FaFJhgh2y4f/jK24ikl2KxE/z1I1NPiPOOyR+PZyfarRr/ABu7u+e/YLLh/qLBN2GJxYRivfy8c+oJcd4x+ZHcRLuWI/+N7pA/k46yK8plJ5f9glUlx97LSrxJa36uRJddUS5b83dPlJ7Et/3EmcmBfq1Ed0GHIxrK1XuodAe8/VAEMKIh5+tKdO2WZCFjpAjxrCs92/1Z10WKEAsZ83Ulutip/TCRADOGr3hdybHDV7w2e47TREIr0QkARqiiN78EKtghG+6/uf4vSCe6GXXH+PCDt3KioHP3OnVv9vz4oa0lZ8/Ph5hr5sq+XyGd6GYieor/ar+T4YLO3evUvdnz4wd/m8t9PsS3hmy4j9PA99NrGUpPDp+hdITvp9cyTgPgcuP9tbJxAnCkCPGFgx30FnXuvePwhYMduUMMLjfeP9d0pwHH8XiIr++NMFyUf8NJ+Pre7Hns4HLj/XVJqA9w7HEL2JVZyISb/BYx4ULsyixkj1sAuNx4fzXtewCcI921nMFr3kIm2jLp+Uy0hcFr3kK6azk4lx0vUsP8n3k2hWtXL+fUyP/gG0f/mtHYMW6970NcHvlDupoiPJj4eH73+/ihrbzn+g08b0XL9C9aYasjDYydeiu7Fn0dYr38qONbLD72ThpDGY4v/RbpglDf0pRmWdTf9bavCp9kKB2lnybGaeDHrCWcztBAhglCud3v2a53AXHfF6cBuGnJaH7luRQhvn2ic8qV58Blz8P3eVnZzYsz9I1n14c/Hg9x+zMNdDQ4miLZY+rZ3e/Zejd2ZnxfnAayu9WvtF4edd3scQvY5zpZZiM0kSJOhGOuNf/B6Srr9X1xGoCmgw+Tbl1Icvkm0l3LGXjxbxEaG8SSY7hoc3b3e25FuuiRp7Q4zSzV3opytXvZ1kAGO8BrN61mUetf8vl9f0kqdpxHE5+AYQjHevO739/66nWBCHXPJdEQzX2/zKML/p1QrJfeZf8GQDh3TL3lyH/jBS1J30Pd8+LwkUlrxacJk6bwmLsL3Frxb105PGmteAekJk2oc4FaK/5Vq9IsaHT5teIHJ4zBgh0JQVwrfm1oiBY3kV8r/rCbfJpjENeKb33qh8RHTufXis+0dEJL55kBWite6khggx2ynfvGpR/jtkc/zEl6AGgPLec9l/+lb8fUp7M60sCS4Tfy89A3GYv1AhBNLuL5A2+muy0YgV7oqvBJruJkVV3dzQvtarm62+bF2W68mq7uttjiLA4fqaqruzUdfJimgw/r6m5zrFav0pZdUlYduy+8CXV/98SfAczrKW2z5U2o+0XnHQDcMHQLMZ8mypXrwvAgFwbgOPpMXLMgmEF+Lhd0OC7o8P84+ky0WzKwQX4usVP7FeRS1wIf7HDmVDjvfjXwToXz7ouISLCoY/dZtQR6IQW6iIjMt6oJdhERkblUqx174M5jFxERkdlTxy4iInXIMKvN3rY2fyoREZE6pY5dRETqko6xi4iISOCpYxcRkbqjledERERqTm0Gu3bFi4iI1BB17CIiUod0upuIiIhUAXXsIiJSl2p18pw6dhERkRoybbCb2cVm9mjBbcjMfn8eahMREakYM6vozS/T7op3zj0DXAlgZmHgCHBnZcsSERGR2ZjpMfaXA8855w5WohgREZH5omPsWW8DvjrVE2a21cx2mtnOgb6+869MRESkxpnZTWb2jJntNbNbp3i+w8z+n5k9ZmZPmdm7p3vNsjt2M4sCrwc+NNXzzrltwDaADZs2ud6hoXJf2nf9x/v9LmFGhvuG/S5hxhpbGv0uoeb17Onxu4QZO3Gi+nb+bbr8Wr9LmJGmaMzvEgIpCEvK5g5vfxp4JdAD7DCzbzvndhUM+z1gl3Pul8xsMfCMmX3ZOZc81+vOpGN/DfCwc+7ELOoXERGRybYAe51z+3JB/TXgDUVjHNBm2U8hrUAfkCr1ojM5xv52zrEbXkREpLrMy8pzi8xsZ8Hjbbm9254VwOGCxz1A8S6hfwS+DRwF2oC3Oucypb5pWcFuZs1kdxW8p5zxIiIiwinn3OYSz091LMAVPX418CjwMuAC4Idmdrdz7pzHu8v6uOKcG3POLXTODZYzXkREJOgCcB57D7Cq4PFKsp15oXcD33RZe4H9wCWlXlQrz4mIiPhjB7DBzNblJqi/jexu90KHyJ5qjpktAS4G9pV6Ua0VLyIidcl8vh67cy5lZu8F7gLCwO3OuafM7Hdyz38W+GvgC2b2BNld93/inDtV6nUV7CIiIj5xzm0Hthd97bMF948Cr5rJayrYRUSkPmnlOREREQk6dewiIlKH/L0CWyUp2EVEpO5kl5StzZ3WtflTiYiI1Cl17CIiUpdqdVe8OnYREZEaoo5dRETqkjp2n41MDDIyUV1L1SfDcZLhuN9liIhIHamKjn1kYpBtz30EgK0XfIjWhg6fK5peMhzn8fU/AODyfa8imm7yuSIRETmjdk93C3zH7oV6b+IIvYkjbHvuI4Hv3L1QH2scZKxxkMfX/0Cdu4iIzItAd+yFod6QXopzjl6O8KlnbuP9F384kJ17Yag3j2fr88I9yJ17T2M3x5u6SVuYsEuzNN7LyvFev8uqKU8NRnl6NEYqY0RCjktaElzakfS7rJL6mxdyum0p6VCEcCbFwuHjdI2d9rusvCO/fWJW26345yVzXEl5vrT2H2a13a8deN8cV1K+S/5vySuEntPT73l6jiuZe7V6Hntgg31kYpD/vfs2Rt0x0oluRg7+FgBNa7YxFDvGXz/yV7yo9YO8dtNynys9ozjUL9+XXbff+1oQw31P61qON3WftWbyvoZ17Gtby9J4LxeNHPCnuBpx96km9ozGcIVXkkrDfQMR7h9o5qKWBDcuCtYeneMdqzjatZZMePJbxEBrN6F0iuX9B1g6eNin6kSklEAG+8jEIP/ryb8hETpOOtFN/OBWFjV10NYYYujU7zK26DOEY738dOQT9D7wft597Rq/S54y1L0Av3zfqwIZ7o90bmK4oTUb6s4RdmnCLk3awqQtDGYcb+pmLNLMlQO7/C63Kn37WCu9yQjZqy06IuaImiPpjJQzHMYzozH6J8K8ftmI3+UCsG/xJfS1Lc3/XsQm4kTSSVLhKImGJjLhCD0LLyAebWbdyWf8LhcovwOfbYc/18rtwGfb4VdCuR34bDt8f9TmMfbABbvXqXuhvnjov7P1tWvobPZK7ebI0If5p2f/FmIn2JX4FN/d5W/nXirUAaLppsCF+57WtflQj6YTXD6wi+b0md3CY+Eoj3duIhmOMdTQyp7WtercZ+juU035UG8Opbl5yRCd0TPPDyRh+4l2xjJhepMR7j7V5HvnfrxjVT7UW+KDXHD8SaKZM78XyVCU55ZexmhTB6fbltGUHFPnLhIwgTrA4B1T93a/Lx767/zxKy4oCPWsFe0L+NDl/4NwagnhWC8/H/mEbxPqpgt1jxfuzeMdgZhQ5+1+j6YTXHf60UmhDtCcTnLd6UeJphP5zl1mZs9oDC/U37FqcqgDdEbhHauGaA6lAcuN99fRrrX5UN949OFJoQ4QzSTZePRhWuKDYMbRLv/3lonMhplV/OaXwAR74UQ5b/f71uvP/abR2tDB7274U9KJbizWy6eeuW3ew73cUPcEJdx7Grvzu1kvn2YX+/MGdoNzYJbdTsry1GA0d0zdcfOSoZJjX7NkCHA4jKcGoyXHVlJ/88LsMXXnuOD4kyXHXnD8SXCOTLiB/uaF81ShiJQjEMFePPvdO6Ze3KkXW9m+gKaTv0s60c1Q+ti8ngo301D3BCHcve477NJnderFWtIJQi4zaTuZ3tO57jti7qxOvVhXNDuucDs/nG5bCkBsIn5Wp14smkkSm4hP2k6k2qhjnyfOZd/g2hrLK601VpuTHyopbWEgG+zliLjUpO1keqlM9vcymgvs6XjjvO38kA5lP0hHpvmw54mkJyZtJyLBEIhgb23oYOsFH6I7toJU5ET2lLZk6d2XkO30+zuyM+Qb0kvndVW62Xbes+3055IX6OUGdcoik7aT6UVC2aBOuvKC2hvnbeeHcCb7AS4VLu9wQCrcMGk7kWqjjr3CvHBvDy8jHOtlbNFnODLUd87xIxODfGbv3+KiJ0gnunndoj+a9wVrZhruQQh1gKXx7MIzaQszNs2b+Gg4Ria3iIO3nUzvkpYEAClnDEzTAPcns+MKt/PDwuHjACQamkiGSv9eJEPZU98KtxORYAhMsEM23N9/8YdxiW7CsV7+6dm/nfKYuXdM/nTyKOlEN+7oe7h2tT8rSZUb7kEJdSC7olxuQtzjnZtKjn2ic2N+op1WoivfpR1JDAcY20+0lxz7vRPtgGE4X1ei6xo7TSidAjOeW3pZybHPLb0MzAilJwK1Ep3ITJiFKnrzS6CCHbLh/qLWD5JOdJOOnOAjj/81PQWdu9epF86ef/XFy3ysePpwD1Koe5bGs+GeDMe4f+GVjIYnT9oazX09GY6Bc+rWZ+GilgTgGMuE+crhdvqLMrs/CV85nD2PHVxuvL+W9x8A5xht6mD38qvP6tyToSi7l1/NaFMHOMfy/oP+FCoi5xTIWS+v3bScE/e/n92JT0HsBJ98+jaaTv4urTGjv+Mz+d3v8YNbuXb1Yl65sc3vks+5CA0QuFAHuGjkAKORZoYbWkmGYzy04ApCLkPEpUhZJLv7Pdept0+MaHGaWbhxUZz+ieziM2OZMHcc6zxr5TlvRbruaMr3xWkAlg4eZizaQl/bUkabOnh87fW5lecmSIUbsrvfc78XC4ePBWZxmqCsKFeuIK0oV67qWlGuHLV7dbdABjvAb1y3hu/u+iA/H/kE4Vgv8cWfIQ6Eo7353e9vuGxZIELdM1W4A4ELdc9VA7smrRWfsTBJCibU5Tp1hfrsvX7ZyKS14lPOSBXMj7Ncpx6EUPesP/k0zclRjnatIRNuIBFtpnBfQig9wfL+g4EJdZHZMEPB7ofXblrOiyf+nE89cxtDsWMANKSXcsvSP+LaLf4cU59OcbgDgQx1z0UjB7ho5ICu7lZBNy6Kc+OieFVd3W3p4GGWDh4O/NXd/LpK22z5eZW22aqGq7TJZIEOdjgzoW7bcx8BmNdT2marMNyBwIZ6oZXjCvJKu7QjGdggP5eusdOBCnKRuaSO3UfeqXDe/Wrghbt3X0REZD5URbBD9QR6IQW6iEiQBe7EsDlRmz+ViIhInaqajl1ERGTu1O7pburYRUREaog6dhERqUvq2EVERCTw1LGLiEhdUscuIiIigaeOXURE6k4trxWvjl1ERKSGqGMXEZE6ZJjVZm9bmz+ViIhInVLHLiIidUnH2EVERCTwygp2M+s0s/8ws6fNbLeZvaDShYmIiFSSmVX05pdyd8V/Evi+c+6XzSwKNFewJhEREZmlaYPdzNqBFwG/DuCcSwLJypYlIiJSafV7jH09cBL4FzN7xMw+Z2YtFa5LREREZqGcXfER4Grgfc65B8zsk8CtwP8oHGRmW4GtAIuWLGEoHp/rWitmfHTc7xJmJJmovh0mp4+e9ruEGRs6PeR3CTMy0H/S7xJmLJVK+F3CjI0MDPtdwowMV9F78Xyr51nxPUCPc+6B3OP/IBv0kzjntjnnNjvnNrd1dc1ljSIiInMqO8EtVNFbmXXcZGbPmNleM7t1iuf/PzN7NHd70szSZrag1GtO+52dc8eBw2Z2ce5LLwd2lVWxiIiITMnMwsCngdcAm4C3m9mmwjHOuf/lnLvSOXcl8CHgZ865vlKvW+6s+PcBX87NiN8HvHuG9YuIiARKAHbFbwH2Ouf2AZjZ14A3cO7m+e3AV6d70bKC3Tn3KLC5rDJFREQEYJGZ7Sx4vM05t63g8QrgcMHjHuDaqV7IzJqBm4D3TvdNtaSsiIjUpXno2E8550o1xVMV4M4x9peAX0y3Gx60pKyIiIhfeoBVBY9XAkfPMfZtlLEbHtSxi4hInQrAMfYdwAYzWwccIRve7ygeZGYdwIuBXyvnRRXsIiIiPnDOpczsvcBdQBi43Tn3lJn9Tu75z+aG3gL8wDk3Ws7rKthFRKQOWdnnmleSc247sL3oa58tevwF4Avlvqb/P5WIiIjMGXXsIiJSd8wCcYy9ItSxi4iI1BB17CIiUqfUsYuIiEjAqWMXEZG6pGPsIiIiEnhV07GfTBwBYHFshc+ViIhI9TMspI7dNycTR7j90G3cfui2fMCLiIjI2QIf7F6op12KtEsp3EVE5PzlzmOv5M0vgd4VXxjqRgQcpEnx+YO38ZtrPhzo3fIjoUb6I22kLEzEpelKDdOaGfe7rHMaizQz2NhJOhQmnEnTMT5Ac2rM77JKOhRZyJGGhaQJEybNionTrE6d9rusc9rPAnrCnaQIESHDyvQA65j2CowyQ6FVlxO+8Fos2ohLjpPe+wCZw4/7XRYA37ryC7Pa7o2P/vqc1jET13zxqlltt+Ndj8xxJVKuwAb7ycQRPn/wNjKkcJkwo/vfB0Dzuk+RCaX45wN/w6vbP8Tzl632udLJ+sJt7G9cykCk7aznOlPDrBs/zoL0sA+VTW0w1klP+2qGGzvOeq5tfJCVQ4foSAzMf2ElPBVdydGGhdmlowo8E27mGbeS5ROnuTTZ41N1Z3s8tIyeUNdZ9e4ONbHbLWVlpp/LM8d8qq52hC99BQ1X3oRFmyd9PbL2KlxyjIlHv0/6qR/5VJ0EjVG7s+IDGewnE0f43MHbcLlQTx56P1ctWUVbY4hT8T/kQNPfY6E03x/8CEPjf8JL1631u2QAjjYsZHfTajAj7NJ0TwwQy0yQCDXQ29DJQKSNR1pa2Rg/xPIJ/zvL3pYl7OvaAGaEMikWxk/RkE4yEY5yumkRw40d7I5dxvr+Z+kePeF3uQA82Hghg+GWbEg6R5g0EZchZSHShMGMow0LGQ01smV8r9/lcm94LQPWXFBvhghpUoRJEwIzekJdjFiM69MH/C63ajW88J2EL7wOM8M5hxs+iYsPY01tWNtiLNpMwzW3EOpaysQ9X/K73LI78Nl2+JVQbgc+2w7fDwr2eeJ16l6oX5r5I17z0vXEGrz/ARs4MvpnfLHnNgiluDfxMdqP+d+594Xb8qG+Zvw4axPHiZDJP39R/DAHYks52LiU3U2racwkfe3cB2Od+VBfPnSIFUM9hF06//xa28eR9pUcbV/Nvq4NxFIJ3zv3p6Ir86EeyyS5emwvrSTzz48Q5eHmC0mEogyGW3gqutLXzv3x0LJ8qMfcBNem9tPKREG9DTwQWUfCGhigmcdDy9S5z0L40lfkQz194jmSP/5nGB86M6CxnejLfpvwkgsIX/gCMv3H1blLTQvU5DnvmHqmINTfuOmCglDPWtGygt9a+2HMRbBQmruGPuL7hLr9jUvzoX5h4uikUAeIkOHCxFHWjB8Hs+x4H/W0r86H+urBg5NCHSDs0qwePMjyoUPZrrJ9lU+VnuHtfo9lkrxobNekUAdoJfv1WCaZ79z95O1+j7kJXp7aMynUAVrJfj3mJvKdu8xcw5U3nQn17Z+YHOoA40Mkt3+C9InnMDMarrjJn0IlcGp18lxggr1wopy3+/01G9afc/zi2AretfLDuEwYLM3nD/o3W34k1MhApI2wS7M2cbzk2LWJ44RdmoFIGyOhxnmqcLKxSDPDjR2EMilWDJXuaJcP9RDKpBhu7GQs0lxybCUdiizM786+eqz0Lvarx/aCc2CW3c4H+1mQr/fa1P6SY7ekDuTr3c+C+SmwRoRWXY5Fm3HOZTv1EpI//RzOOSzWTGjV5fNUocj8C0SwF89+H9v/fp63aNVZnXqxFS0rWBP/Q1wmTAb/ToXrz02U654YOKtTLxYhQ/fEwKTt5ttgYycAC+OnzurUi0VcmgXx05O288ORXPcdJn1Wp16slSTh3P+HIz517T3hTgDCZM7q1Iu1FdTrbSflCV94LQBu+OTZnXqxscHsuILtpI4ZWKiyN78EItgncdk/2hrLK6015v+PkLIwALFM6TdwTzQ3zttuvqVD2e/bkC4dkJ5oOjFpOz+kyX7viCv9wckTyX1g8babb6ncP60IpT84ebwPhKkA/pMMMotm93q5eHnzVbxx3nYitSgQ7yKLYyv4jdUfJmwRnKVoXvcpTpXReZ9MHGF3+ONYKI0R4TdW+3NuuxciiVBDWeOTuXGRabrlSglnst93Ihwta3wyHJu0nR/CuYBMlfkx2PvQFC4zWOfamaAu74PFmQ8C5X1wkSyXzK4NYU3l7f3yxnnbST2z7OGySt58EohghzPhHiI7Ie5A099zZPTc4X4ycYTbD96GszQuE+aWhR/ybcGarlS2C+ht6Jy240oRorehc9J2861jfACA002LSE+z1yBlYfqaFk7azg8rcqcHpgkzQukPJCNEs6eSFWw331amBwBIE2KE0h/4hgvq9baT8qT3PgCAtS2GxvbSg5s7suMKthOpRYEJdsiG+2+u+TC4MBZK88WeqY+Z54/J52bPd/X9AZcs9G/WdmtmnM7UMGkLcyBWerb7gdhS0ham08eV6JpTY7SND5IJRTjSvrLk2KPtK8mEIrT5vBLd6tTp/ASzh5svLDn24eYL8xPX/FqJbh19+XofiKwrOfbByNp8vVqJbmYyhx/HJccwM6Iv++2SY6Mv+a3see6JscCsRCf+0qz4ebI4toJXt38IlwnjLMXnDtw2qXP3OnVv9vzY/vfzqg2l3zjnw7rx4+AcBxuXsje2/KzOPUWIvbHlHGxcmn0DHy89e77SVg4dAuc42r6aQx1rzjren7IwhzrWcLR9NTjHyqHDPlV6xvKJbLgnQlF+3rzprM59hOzXE6EoOOf7IkArM/3Zeq2B/4pcxHBRvcNE+a/IRSSsIft3nOn3qdLqNvHo93HOEV5yAdGbPwjNRasoNncQvfmDhJdcgHOOice+70+hIvMkcAvUADx/2WqGxv+EexMfg1CKLxz+G9bE/5DWWIjd4Y/nd7+P7X8/t2xaz4WLyzu2XUkL0sNsjB9id9NqDjYupSe2mO6JAaKZCZK5lefSFgbn2Bg/5Puysh2JAdb3P8u+rg0cbV/N8dblLIifJppOkAzH6GtaSCYUAedY3/+s74vTAFya7GE01MhguIVEKMp9LRuzK7m5NCk7s5IbztGRHvV9WdnLM8cYsRgDNJOwBu6OXJhbeS5DitCkejvdmBanmaX0Uz8i1LWM8IXXEV5yAY1v+duzV57LrUiX3ntfIBanCdKKcuWqphXlyqElZX3w0nVraT/2Ie4a+ggWSnOw6e8BsFyod/X9AW/dvC4Qoe5ZPnGaxkwyv1b8sejkU62CtlZ89+gJYqkEPe2rGG7s5FTLkknPt40PsHLocCBC3bNlfO+kteLThCfPE8h16n6Huuf69IFJa8WnCU+eqZ/r1BXq52finn8j03+MhituwmLNWHs3tHfnn3eJMSYe01rxUh8CG+yQ7dxXL/iz7MVgQikAjAhvWvwhLrnE/5XQprIgPcyC0eGqubpbR2KAjpMDVXV1t0uTPVya7Kmaq7tdnjnG5ZljurpbhaWf+lG2ew/w1d38vErbbNXyVdrUsfvEm1B3+6HbAHw7pW2mWjPjtFbRKTXNqTGaR4IZ5OeyOhXMID+XdfSxLq0gr7TM4ccDE+Qifgh8sMOZU+G8+yIiIufFwELq2H2lQBcREZle1QS7iIjI3PH3XPNKCtx57CIiIjJ76thFRKQuqWMXERGRwFPHLiIidSe78pzfVVSGgl1EROpPDSe7dsWLiIjUEHXsIiJSl2p1gRp17CIiIjVEHbuIiNQlne4mIiIigaeOXURE6pCWlBUREZEqUFbHbmYHgGEgDaScc5srWZSIiEhFWe0eY5/JrviXOudOVawSEREROW86xi4iInUnu/BcfXfsDviBmTng/zrnthUPMLOtwFaAxUuX0hyNzl2VFda1pNPvEmYkNZHyu4QZO/Tsc36XMGPJ5LjfJcxILNbsdwkztmjRSr9LmLFq+70YHBvzuwSZZ+UG+w3OuaNm1g380Myeds79vHBALuy3AVy4aZOb4zpFRETmVF2vPOecO5r7sxe4E9hSyaJERERkdqYNdjNrMbM27z7wKuDJShcmIiJSSWaVvZVXg91kZs+Y2V4zu/UcY15iZo+a2VNm9rPpXrOcXfFLgDtzkwwiwFecc98vr2QRERGZipmFgU8DrwR6gB1m9m3n3K6CMZ3APwE3OecO5Q6JlzRtsDvn9gFXzLZwERGRwAnGeexbgL25nMXMvga8AdhVMOYdwDedc4cgf0i8JK08JyIiUhmLzGxnwW1r0fMrgMMFj3tyXyt0EdBlZj81s4fM7F3TfVOdxy4iInVoBgfCZ+/UNCu1TlVA8VllEeD5wMuBJuA+M7vfObfnXC+qYBcREfFHD7Cq4PFK4OgUY04550aBUTP7OdnD4+cMdu2KFxGRumRmFb2VYQewwczWmVkUeBvw7aIx/wncaGYRM2sGrgV2l3pRdewiIlJ3DP8XqHHOpczsvcBdQBi43Tn3lJn9Tu75zzrndpvZ94HHgQzwOedcyVPOFewiIiI+cc5tB7YXfe2zRY//F/C/yn1NBbuIiNSfYJzuVhE6xi4iIlJD1LGLiEhdUscuIiIigaeOXURE6lDZp6RVnarp2HcNPsyuwYf9LmNGEqE4iVDc7zLKNtEwzkTDuN9liIjIeaiKjn3X4MN85fCnAHgH72dTx9U+VzS9RCjOjmXfAeCaY68jlmnyuaLSJhrGefZ5dwOw4YkbaZho9LkiEZHKqtGGPfgde2GoA3zl8KcC37l7oT4a7Wc02s+OZd8JdOfuhfp4yzDjLcM8+7y71bmLiFSpQHfsxaHu+crhTwW2cy8M9ZZkF0A+3IPYuReGusUX4swYbznF05ffyyWPXx/ozj3R2MZYWzeZUAOhzATNw73Exof9Luuckk0dxNuXkgk3EEpP0DR0nGh80O+y8r5/3b/Parub7v+VOa6kdm3f8rVZbXfzg2+b40rK94r/uGFW2/3ol38xx5XMMQN8XnmuUgIb7MWh/o5V7wfIfy2I4V4c6tccex1A/mtBC/eJhnF2XXEf6aZh0olu4oezVxRsWrMNmnt57MqdLNp9M2tHhnyudLLR1sWcXrqReNvis55rGj7JwuO7aRk56UNlU4u3L2FgxfMYb19y1nONQyfoPPIETUMnfKhMRGpRIIN9qlD3AvwdvD+Q4T5VqHsBfs2x1wUu3CcaxnnyigdwTf3ZUD/w28SSEaJuguRz74L1XyTc2MvJjduJ73kzGweDETwDC9ZyYvXVYIalJ2gbOEJkYpxUQyPDnSuIty2mp3URSw89REffQb/LZXjxBZxatwUshKUnaOk7RDgZJx1tYnTBasbbl3C8bTGL9j9A28l9fpcLlN+Bz7bDl/I78Nl2+JVQbgc+2w5/vhm1ex574IK9VKgDbOq4OnDhXirUAWKZpkCFu9epe6Ee3vsOtvQ/S6NL5ceMDF/HnivuJdzYy8hFd3AgAJ37aOvifKgvOP40C088QyhzpuYlPY9xesnF9C29hOOrn08kOeZr5x5vX5IP9Y4jT9J59KlJ9S48sJOB5ZcyuOIyTq27lkhiVJ27iJy3QE2emy7UPZs6rs7vmgd/J9RNF+oeL9xbkl2+TqjzjqmnC0L96r5Dk0IdoDUZ4XmPboHxRYQbezm1cbvvE+pOL92YD/XFxyaHJEAok2LxsadYcPxpMMuO99HAiuflQ31Bz2NT1rug5zE6jjwJFsqOF5F5E4DLtlZEYIK93FD3BCHcyw11j9/hXjhRztv9vqn/6DnHN0w0ctHj15Me7ybU2MvTl9/rW7gnGtuIty3G0hMsPPFMybELTjyDpSeIty0m0dg2TxVOlmzqYLx9CZaeoPPoUyXHdh57CktPMN6+hGRTxzxVKCK1KhDBPtNQ9/gZ7jMNdY9f4V48+z1+cCuxZMNZnXqx1kSEzP53kU50M9E84NupcGNt3QC0DRw5q/MtFs6kaBs4Mmm7+RZvXwpAS9+haesNpVO09B2atJ2IVJ46dqkZLvcLF3UTZY1vmCaY5kMm1ABAZKK8DxXeOG+7+ZYJZ79vOFnehzZvnLediMhsBSLYZ9t5z7bTnwuz7bxn2+mfr4aJRjY8cSONo23QeIqmNdtIRhLTbjfRMI674MuEY71YfKFvq9KFMtkPIamG8r63N87bbr6F0tnvm46W9//WG+dtJyKVVtluXR07Mw93P0PdM9Nw9yvUPV64N4x1Eo71Elr/RUai5+7GJxrG2XP5PVjjSdKJbpY/9SrfFqxpHu4FYLhzBZlQ6ZM50qEIw50rJm0335qGjgMwumD1tPVmwhFGF6yetJ2IyGwFJtih/HAPQqh7yg13v0Pd0zDRyCWPX09mvJtwYy97rph6Qpx3TD7RPEQ60U1i/2+wJD59h18psfFhmoZP4sINnF5yccmxfUsuxoUbaBo+6dtKdNH4II1DJ3DhBgaWX1py7MCyS3HhBhqHTgRqJTqRmmZgIavozS+BCnaYPtyDFOqe6cI9KKHuaZhoZNHum0mPd0PjKZ648kFGYmc6d69TL5w9v3rY/9XnFh7fDc7Rt/QSTi67lHRRJ5wORTi57FL6ll4CzmXH+6jzyBPgMgyuuIy+lVeQCU+uNxOO0LfyCgZXXAYukx0vInKeArdADZx7ERrvvicIoe451yI0QKBC3bN2ZIj4s29mZMMdhBt72X35/WT2v4uGTAp3wZexxqF8qHePjrN63P9dxC0jJ1ly6GFOrL6avqWX0L/4grNWnnPhBnCOpYce8n1Z2aahEyza/yCn1m1hcMVlDC29+KyV57L1Zli0/4HALE6jFeUqL0grypWrWlaUK5dWnvPBVOFeKEih7pkq3IHAhbpn48AJDuy+mVMbtxNu7IX1XyQNhGMn87vf1w73ByLUPZ19B2hIjubXih9auHbS80FbK77t5HNEEiP5teJHFl8w6XmtFS/inxrN9eAGO5wd7p4ghrqnONyBQIa6Z+3IECse3czTl98LzdmJZhZfyOqnXs6S+B6fq5tay8hJWvaerJqruzUNnaBp6ETgr+6mq7RVnp9XaZutwF+lTc4S6GCHs8M9yKHuKQx3ILCh7vEm1D37vLsB2PDEtTRM+DdRrlyx8eFABvm5ROODgQpykbpXoy174IMdzoS7d78aeOHu3Q8671Q4776IiFSnqgh2qJ5AL1QNgV5IgS4idcNqd/Jc4E53ExERkdmrmo5dRERk7vi7iEwlqWMXERGpIerYRUSkLukYu4iIiASeOnYREak7tbykrDp2ERGRGqKOXURE6o/OYxcREZFqoI5dRETqkjp2ERERCTx17CIiUpesRlvbGv2xRERE6lPZHbuZhYGdwBHn3OsqV5KIiEilWc1ej30mHfsHgN2VKkRERETOX1nBbmYrgdcCn6tsOSIiIvMgdx57JW9+KXdX/P8B/hhoO9cAM9sKbAVYvHTpeRcmIiJSKbW8pOy0wW5mrwN6nXMPmdlLzjXOObcN2AZw8aWXutbGxrmqseKa21v8LmFGWjrifpcwY/2PHfe7hBk7dfqI3yXMyGWX3eh3CTO2Zs2lfpcwY+1dXX6XMCPJdNrvEmSeldOx3wC83sxuBhqBdjP7knPu1ypbmoiISOXUasc+7TF259yHnHMrnXNrgbcBP1aoi4iIBJMWqBERkbpkoTrt2As5536qc9hFRETmhpndZGbPmNleM7t1iudfYmaDZvZo7vbn072mOnYREak/Pp+Sli3BwsCngVcCPcAOM/u2c25X0dC7Z9JUa0lZERERf2wB9jrn9jnnksDXgDec74sq2EVEpC7NwwI1i8xsZ8Fta1EJK4DDBY97cl8r9gIze8zMvmdm054jql3xIiIilXHKObe5xPNTHQtwRY8fBtY450Zyp51/C9hQ6puqYxcRkbqTXXmusrcy9ACrCh6vBI4WDnDODTnnRnL3twMNZrao1Isq2EVERPyxA9hgZuvMLEp2rZhvFw4ws6WW269vZlvI5vbpUi+qXfEiIlKX/D6P3TmXMrP3AncBYeB259xTZvY7uec/C/wy8LtmlgLiwNucc8W76ydRsIuIiPgkt3t9e9HXPltw/x+Bf5zJayrYRUSk/ngH2WuQjrGLiIjUEHXsIiJSh/xfea5S1LGLiIjUkKrp2B/v2wnA5QtKnesfLEOh7BkJ7ZmFPldSnlOthwBYNLLa50pERCqvVjv2qgj2x/t2cvu+jwPwG/xRVYT7UOg0P+n8MgAvHfjVwIf7qdZD7F73MwA27n+xwl1EpEoFfld8YagD3L7v4/nuPai8UM9Ymoyl+Unnl/PdexDlQ90Ag93rfpbv3kVEatU8rBXvi0B37MWh7rl938cD27kXhnrIhQHy4R7Ezn1SqHtLHuTCPeide6plAcmulbhIA5aaINrfQ2S0z++yzimz/BJYezVEGiE1DgceJnT0ab/Lyvv21f82q+1e//A757iS8m3f8vVZbXfzg2+d40rK87UNn5nVdm979nfnuJLy3Xzni2a13fZbfj7HlcwtM/8XqKmUwAZ7caj/xvo/Ash/LYjhXhzqLx34VYD814IW7oWh7hyMHX4XAM2rvojlwn3FgVezfrjb50onS3atZHTdZia6zr4IUkP/EVr27yTa3+NDZVPLXPRC2PRSiDZNfmLlZWSScdj1E0J77vGnOBGpOYEM9qlC3Qvw3+CPAhnuU4W6F+AvHfjVwIV7cajHD/0qy0aW0ehSDB28hfiaOzGDnrV3kTxwM5cMB+PDSHzZRoY3vgQshKWSxHqfI5QYJRNrIdF9ARNdKxjoXEbb7p/SdGy33+WSuebN2S7dcn/RI6dhfAQaW6F1YTbsr3gNmY5uQju+6Xe5QPkd+Gw7/EootwOfbYc/18rtwGfb4VdCuR34bDt8P2jy3DwpFeqQnRUftHAvFeqQnRUfpHAvDvWOg6/n+qEIEe+iQkOtnNj/Evas+ylm0Lt2O9EAdO7JrpX5UG8+8BDNBx4ilJ7IP5/Zczdja5/P2NrnM7zxJYTHh33t3DMXvfBMqJ86CPd+mdD4yJnnG1vh+l+FRWtg7fPJDPaqcxeR8xaoyXPThbrn8gWb87vmwd8JddOFuscL95AL+zqhbqpQv2KogwiZSeOWjKxi4/4Xg8vm0pG1d/k+oW503eZ8qLc+d/+kUAcIpSdofe5+mg88BBbKjvfTppfmQz304/87KdQBQuMjhH78f7Ohb5YdLyLzJgCXba2IwAR7uaHuCUK4lxvqHr/Dfard75cOdZ1z/KKR1Vy0/yU4h++z5VMtC5joWoGlktngLqH5wENYKslE1wpSLQvmqcLJMssvye5mdw7u/XLpwfd+JTsu2pTdTkTkPAQi2Gca6h4/w32moe7xK9yLZ7+PHX4XS0dWntWpF1sysoqmg7f4Hu7JrpUA2WPqRZ16sVB6gljvc5O2m3drr87+OXL6rE69WGh8OHvsvXA7Eamwyp7q5ufx+0AEu/ij0aXKGhclXeFKpuciDQCEEqNljQ8lxyZtN+8ijdk/pwn1PO/n8rYTEZmlQAT7bDvv2Xb6c2G2nfdsO/3ztWhkdf6YOZY9pW2odd+0251qPcTQmm9njxc5/1als1S2S8/EWsoan4k2T9pu3qXGs382tpY33vu5vO1EpPJq9CB7IIIdZh7ufoa6Z6bh7leoewrD3Qzia+7kROvhc44vPia/Zv8rfFuwxpvdnui+gEy4dBeeCTeQ6L5g0nbz7sDD2T9bF2Znv5eQaWzLnvpWuJ2IyCwFJtih/HAPQqh7yg13v0PdUxzue9b9dMpj5sWhHjr4FlaPLJv3ej2R0T4a+o/gIlHG1j6/5Nixtc/HRaI09B/xbSW60NGnIRnP/iVf/6ulB1//juy4ZDxQK9GJ1LTcynOVvPklUMEO04d7kELdM124ByXUPYtGVrPiwKsnTYgr7NzPWpHu0Du5ZNif2eWFWvbvBJdhbO3zGbngurM690y4gZELrssGv8tkx/tp10+yf4GL1pB52XuynXmBTGMbmZe9J3seu3PZ8SIi5ylwC9TAuReh8e57ghDqnnMtQgMEKtQ964e7SR64md612zGDZ9b9lEMHbyFKmqE1k0P90qFOFrkBv0sm2t9D2+6fMrzxJYytfT7xlc/LzpJPjpGJNpPovgAXiYLL0Lb7p74vKxvacw+ZjiXZme6L1sAv3Upm5HR2olysJbv73VuR7sBDgVmcJkgrypUrKCvKlStIK8qVq5pWlCuHoZXn5t1U4V4oSKHumSrcgcCFuueS4YVED7yaI2vvyh9zj3Mma0IH38Lm4ZZAhLqn6dhuwuPD+bXix5dvnPR80NaKD+24g8zgiTNrxbctyt48WiteROZYYIMdzg53TxBD3VMc7kAgQ92zfrib9v0vZve6n52ZxOlg7f5XsHokBpR3etl8ivb3EO3vqZqru4X23AN77gn81d38vErbbPl1lbbZ8vMqbbMV9Ku0nQ917D4pDvcgh7qnMNyBwIa6x5tQt3vdzwDvlDb/JsqVKzLaF8ggP5fQ0achQEEuIrUp8MEOZ8Ldu18NvHD37gddfrZ87r6ISE3zeXW4SqqKYIfqCfRC1RDohRToIiLVr2qCXUREZC7VasceuPPYRUREZPbUsYuISF2yGm1tFewiIlJ3anmBmhr9vCIiIlKf1LGLiEj9ybbsfldREerYRUREaog6dhERqUs6xi4iIiKBp45dRETqUO0uKauOXUREpIaoYxcRkbpkoTrt2M2s0cweNLPHzOwpM/vL+ShMREREZq6cjj0BvMw5N2JmDcA9ZvY959z9Fa5NRESkMqx2Z8VPG+zOOQeM5B425G6ukkWJiIjI7JR1jN3MwsBDwIXAp51zD1S0KhERkQqq5bXiywp251wauNLMOoE7zewy59yThWPMbCuwFWDx0qUMxeNzXWvFjA6O+l3CjMRHqufv1uOqcCdPb+8hv0uYkaNH9/pdwox1d6/xu4QZi49U1/vFyb4Bv0uQeTaj092ccwPAT4Gbpnhum3Nus3Nuc3tX19xUJyIiUiFmlb35pZxZ8YtznTpm1gS8Ani6wnWJiIjILJSzK34Z8K+54+wh4BvOue9UtiwREZEKq9dj7M65x4Gr5qEWEREROU9aUlZEROqPGRaq7K28MuwmM3vGzPaa2a0lxl1jZmkz++XpXlPBLiIi4oPcIe5PA68BNgFvN7NN5xj3MeCucl5Xa8WLiEhdCsB57FuAvc65fQBm9jXgDcCuonHvA+4ArinnRRXsIiJSlwIQ7CuAwwWPe4BrCweY2QrgFuBlKNhFRER8tcjMdhY83uac21bweKpPFsWref0f4E+cc+lyP4go2EVEpO7M05Kyp5xzm0s83wOsKni8EjhaNGYz8LVcrYuAm80s5Zz71rleVMEuIiLijx3ABjNbBxwB3ga8o3CAc26dd9/MvgB8p1Sog4JdRETqlN/H2J1zKTN7L9nZ7mHgdufcU2b2O7nnPzub11Wwi4iI+MQ5tx3YXvS1KQPdOffr5bymgl1EROqPlb+ITLXRAjUiIiI1RB27iIjUJf9PY6+MqunY7zv5Q+47+UO/y6hpfZ1H6Os84ncZM+Ka0rimtN9liIgERlV07Ped/CHf6/1K/vELFr/Sx2pqU1/nEfZtvC/7YPcLWDCwwt+CyuCa0iTfeBKA6LcWY/GwzxWJSFWp0ZY98B17cah/r/cr6tznWD7UDTDYt/G+wHfuXqi7hSncwlT2vjp3EZFgd+zFoe7xvqbO/fxNCnVvIcNcuAe1c58U6kOt2U/dC4dJvKmP2DcXBLZzb1h3NY0XvxCLNeMSY4w/cw8T+x/2u6y8na+7b1bbbf7OC+a4kvJt3/K1WW1384Nvm+NKyvOfV31xVtu94ZF3zXEl5ftvP3v9rLb71xd/e44rmXt+n8deKYEN9uJQf013djEe72sK9/NXHOrrd2ffoL2vBTHcXVOaxJsHoDNFOtFN/PhWAJqi2wh39RJ/e4Lw9nXEjp/wt9ACjVfeTPM1byAUa5n09diFW8gkRhnb8Z+MP7r9HFuLiMxMIIN9qlAvDHCF+/mbKtTzAb77BYEMd9eUZvxXhrD2OOlEN+PP/TrRY4cJJ0ZJH38JbPkJ4eaTpF4XIfOjjTQdeM7vkml92VZiG2/EzHDOkR48gYsPYU3thDuWEIq10HLD2wkvWMHoj//Z73KB8jvw2Xb4lVBuBz7bDn+ulduBz7bDr4RyO/DZdvjzzUwd+7yZLtS9+wr32SsZ6pC9H7Bw9zp1L9TdPVvo2vPvhNIT+THpfU0k39xOuK2X9Csg8Z1VvnbujVfenA/1iWN7GPreJ3Fjg/nnrbmD9td8gIZlF9G48UWk+46ocxeR8xaoyXPThbrnBYtfmd81D5pQNxPThbpnwcCK7K55h+8T6vKz3zvPhHrr7kcnhTpAeCRD4zdacMPthBt7Sd+839cJdc3XvCEf6oN3/NWkUAdwY4MM3vFXTBzbg5nRfM0bfKpUpD5ZyCp680tggr3cUPco3Geu3FD3BCHcCyfKebvfm/c8dc7xFg8TvaOT9PhiQs19JN7U50u4N6y7mlCsBeccQ9/7ZMmxw9/7B5xzhGItNKy7ep4qFJFaFYhgn2moexTu5ZtpqHv8DPfi2e/xg1tpOHbirE69WHgkQ/rBl5JOdENXwpdT4RovfiFA9ph6UadeLDPWT2bwxKTtRKTSDLPK3vwSiGAXmVbuH0k4MVrW8NDEWCWrmZbFmgFw8aGyxmdy47ztRERmKxDBPtvOe7adfj2abec9205/Llg8nF1R7nQEaxumac020q3T/8q6pjSha+8mHOvFDbX6siqdS2Q/WFhTe1njQ7lx3nYiUnnq2CtspuGuUJ+5mYa7n6Hu8cKd/hjhWC/hLT8pGe6uKU3yllOEWgdJJ7qJfHe1LwvWjD9zDwDhjiVYc0fJsaHmLkIdSyZtJyIyW4EJdig/3BXqs1duuAch1D0WDxP75gIyYwsIN54k+eaBKY+Z54/JL5ggnehm4vFfouF0ebvC59rE/ofJJEYxM9pf84GSY9te8z7MjExiNFAr0YnUMu88dnXs82C6cFeon7/pwj1Ioe6xeJjw9nWkx7uxtiHG3zI6qXP3OnVv9nz8wG+VnD0/H8Z2/CfOORqWXUTHm/+cUHPXpOdDzV10vPnPaVh2Ec45xnb8p0+VitSnbLhX7uaXwC1QA+dehKb4vkJ99s61CA0QuFD3xI6fIPOjjaRfAeG2XsbfFiP94EsJTYwRuvZuQq0T+VBveXIH0f4eX+sdf3Q7kQUriW28kYZlF9H17k+RGTxBJj5EqKmdUMeS/Ip047t/HpjFaYK0oly5grKiXLmCtKJcuaplRTkJaLBD6XAHhfpcmDLcIZCh7mk68ByJ76wifXOKcPNJuPanAIRig/nd7+17fux7qHtGfryNVF9Pfq34cOdSwp1L889rrXgRH/m4iEwlBTbY4exw9yjU505xuAOBDXVP7PgJ3FdjJN4UI9zVC5Cd/f7dRbScvsvn6s42/uh2xh/dHviru/l5lbbZ8usqbbPl51XaZqsartImkwU62OHscFeoz71J4U6wQ93jTahLvvEkALFvtWFlnjPul4n9DwcqyEXqnS4C46OpLgIjc8sL9/z9KpA/FS53X0REqiTYQYE+H6ol0Asp0EVkVnw+Ja2SAne6m4iIiMxe1XTsIiIic0kdu4iIiASeOnYREak7BoTUsYuIiEjQqWMXEZG6pGPsIiIiEnjq2EVEpC7pGLuIiIgEnjp2ERGpO35fM72S1LGLiIjUEHXsIiJShwyjNlt2dewiIiI1ZNqO3cxWAV8ElgIZYJtz7pOVLkxERKSSanVWfDm74lPAB51zD5tZG/CQmf3QOberwrWJiIhUTN0uUOOcO+acezh3fxjYDVTfhbtFRETqwIwmz5nZWuAq4IEpntsKbAVYvHTpXNQmIiJSEUbtduxlB7uZtQJ3AL/vnBsqft45tw3YBnDRpZe6tsbGOSuy0lITKb9LmJFkPOl3CTPW2NjqdwkzNjo64HcJM/Lkk3f7XcKMXf686pu/27WguhqX0YFRv0uQeVZWsJtZA9lQ/7Jz7puVLUlERKTyanXy3LQfly27r+LzwG7n3N9XviQRERGZrXI69huAdwJPmNmjua/9qXNue8WqEhERqSSz+j3G7py7B2p0eR4REZEaoyVlRUSk7hh1fIxdREREKsPMbjKzZ8xsr5ndOsXzbzCzx83sUTPbaWYvnO411bGLiEhd8rthN7Mw8GnglUAPsMPMvl20sut/Ad92zjkzuxz4BnBJqddVxy4iIuKPLcBe59w+51wS+BrwhsIBzrkR55zLPWwBHNNQxy4iInUpAJdtXQEcLnjcA1xbPMjMbgE+AnQDr53uRdWxi4iIVMai3HFx77a16PmpPlmc1ZE75+50zl0CvBH46+m+qTp2ERGpS/MwK/6Uc25zied7gFUFj1cCR8812Dn3czO7wMwWOedOnWucOnYRERF/7AA2mNk6M4sCbwO+XTjAzC7MrQCLmV0NRIHTpV5UHbuIiNSdIFzdzTmXMrP3AncBYeB259xTZvY7uec/C7wZeJeZTQBx4K0Fk+mmpGAXERHxSW559u1FX/tswf2PAR+byWsq2EVEpP7U8FrxVXOM/fH+nTzev9PvMmbkaOuzHG191u8yyjbSfoqR9nPOxwikxMohEiuH/C6jbOG2MOG2sN9liEgNq4qO/fH+nfzLvk8A8O71H+TyrlKTDIPhaOuzPL387twDWD6ywd+CpjHSfop9m+8FYP3O62kdWuRzRdNLrBwi/urcBNK7INbT7m9B0wi3hVl36zoA9n90P+nhtM8VidQ3rRXvk8JQB/iXfZ8IfOeeD3UDDJ5efnegO/d8qOfq3bf53sB37vlQz9Ucf/XRQHfuXqg3rmikcUUj625dp85dxGeW2x1fqZtfAt2xF4e651/2fSKwnfukUPfmLebCPYid+6RQL6h33+Z7A9u5Twr1gprjrz4ayM69MNTHj4wD5MM9SJ37+K2zezto/Ghqjisp34Ov/cWsttvy3RvmuJLa9d8fe/ustvunK746x5VIuQLbsReH+rvXf5B3r/9g/nEQO/fiUL/k6I1ccvTGbPgEsHMvDvX1O69n/c7r8/UGsXMvDvWmu5bTdNfyfM1B69yLQ33/R/ez/6P7GT8yrs5dxEfe6W7q2OfJVKHudefvXv/B/HNB6tynCvV8d36U/HNB6dynCnWvO1+/8/r8c0Hq3KcK9Xx3fhf554LSuU8V6l53vv+j+/PPBa1z7/p/N9L+8vdgoRCZZJzxZ+8nM9pPqKWLxg3XEYo24TIZDjb/mt+l5pXbgc+2w5fyO/DZdvgydwLXsZcKdYDLuzYHrnMvGepkQzxInXupUAdoHVoUuM69ZKiTDfEgde6lQh0gPZwObOfuhfrIg3dy8p/fw9APP8PIvV9j6Ief4eQ/v4eRB+/EQoF76xCZsZBV9ubbz+Xftz7bdKHuCVK4TxfqnqCE+3Sh7glSuE8X6p6ghPt0oe4Jarh7oT5y71dxE+OTnnMT44zc+1VGHrzTp+pEZDqBCfZyQ90ThHAvN9Q9fod7uaHuCUK4lxvqHr/DvdxQ9wQx3DPJOKM7Sgf36M5v5e9HFqyscEUilWEV/s8vgQj2mYa6x89wn2moe/wK95mGusfPcJ9pqHv8CveZhronaOE+/uz9Z3XqxVwynr8fXf28SpckIjMQyMlzIuKfzGj/jMZbtKlClYhUjplpgZpKmm3nPdtOfy7MtvOebad/vmbbec+2058Ls+28Z9vpn6/Zdt6z7fQrJdTSNaPxhd27iPgvEMEOMw93P0PdM9Nw9yvUPTMNdz9D3TPTcPcr1D0zDfeghTpA44brsIbGkmMKu/TkoScqXZJIRdTqeeyBCXYoP9yDEOqecsPd71D3lBvuQQh1T7nh7neoe8oN9yCGOkAo2kTLNbeUHNOy+Y35+6m+ngpXJCIzEahgh+nDPUih7pku3IMS6p7pwj1Ioe6ZLtyDEuqe6cI9qKEO4DIZWrfcQuv1bz/r+LlFm2i9/u20bikd/CLVoFY79kBOnvPCvXiFOe++Jwih7lk+smHKFeaAQIW6xwv34hXmgMCFuifW0z7lCnNAoELd44V78QpzQGBDHTizotyLcrdJbxMTwL/nbsGhFeUqTyvKVY9ABjtMHe6FghTqninDHQIX6p6pwh0IZKh7pgx3CFyoe6YKdyCwoS5ST2p1Vnxggx3ODndPEEPdUxzuQCBD3VMc7kBgQ91THO5AIEPdUxzuQCBDfaqrtEUWrCS6+nlYtAmXjJM89ESgjqnrKm2Vp6u0VZ/AHWMvVnzMPcih7pl0zD3Aoe6ZdMw94KHumXTMPcCh7ik85h7EUD+XVF8PY49+j9EHv8nYo98LVKiLnA9d3c1nheEe9FD3eJ17/n7A5cM9d78aeJ17/n7AeeHu3RcRqYSqCHaonkAvVA2BXqhaAr1QNQR6IQW6SED43FVXUuB3xYuIiEj5qqZjFxERmUt+XjO9khTsIiJSl/y8tGolaVe8iIhIDVHHLiIidceo3QVq1LGLiIjUEHXsIiJSl3S6m4iIiASeOnYREalL6thFREQk8NSxi4hI3TEzzYoXERGR4FPHLiIidaluj7Gb2e1m1mtmT85HQSIiIjJ75eyK/wJwU4XrEBERmVeWu3RrpW5+mTbYnXM/B/rmoRYRERE5T3N2jN3MtgJbAbqXLZurlxUREakIXbZ1Gs65bcA2gKuf/3x3/UUXzdVLV9zQm+J+lzAjxw71+l3CjG08sdHvEmZs2fJ1fpdQ8y648gK/S5ixJWu7/S5hRl6y5Qq/S5B5plnxIiJSdwxdj11ERESqQDmnu30VuA+42Mx6zOw3K1+WiIhIZdXqrPhpd8U7594+H4WIiIjI+dMxdhERqT9aK15ERESqgTp2ERGpS3W7VryIiEitMSCU2x1fqVtZdZjdZGbPmNleM7t1iud/1cwez93uNbNpFyZQsIuIiPjAzMLAp4HXAJuAt5vZpqJh+4EXO+cuB/6a3EJwpWhXvIiI1KUA7IrfAux1zu0DMLOvAW8AdnkDnHP3Foy/H1g53YuqYxcREfHHCuBwweOe3NfO5TeB7033ourYRUSkLs1Dx77IzHYWPN6Wu65KvoQptnFTvZCZvZRssL9wum+qYBcREamMU865zSWe7wFWFTxeCRwtHmRmlwOfA17jnDs93TdVsIuISN0xC8RlW3cAG8xsHXAEeBvwjsIBZrYa+CbwTufcnnJeVMEuIiLiA+dcyszeC9wFhIHbnXNPmdnv5J7/LPDnwELgn3KHDlLT7AVQsIuISD2yQFy21Tm3Hdhe9LXPFtz/LeC3ZvKaVTMr/hvPfJVvPPNVv8uYkV2DD7Nr8GG/yyjb/old7J/YNf3AANnHE+zjCb/LKFsqmiAVTfhdhojUsKro2L/xzFf5xMMfzz9+y8XBv+DcrsGH+XrPPwLwVt7Lpo6rfa6otP0Tu7hr/IsAvJp3sa6heI2E4NnHE+xoyn3QjcN6nudvQdNIRRMcvPZBANY8sIVIMuZzRSL1LQDnsVdE4Dv24lD/xMMfD3znXhjqAF/v+cdAd+6FoQ5w1/gXA9+550PdAIMdTdsD3bl7oZ5sGyHZNsLBax9U5y4iFRHojr041D3e14LYuReHuufrPf8YyM69ONQ9d41/MbCd+6RQ9874zIV7EDv3wlAPjXaCGcm2fg5ct4O1918T6M59rKGZoaYu0qEw4Uya9ng/zRNjfpeV95HEH89quw/F/m6OKynP7z/z67Pa7v9c/IU5rWMmNv3z7N4Ddv12sJsDoGYv2xrYYC8O9Q9e/UfAmVAPYrgXh/pbV74XIP+1oIV7cai/uvFdAPmvBTHci0P9mvjNAPmvBS3cU9EE+6/bSap1hHSim5EjWwFoWrMNWnt59obHWbLzRhYMj/tc6WSDjZ0c7VzDcFPnWc+1xQdYPnCQjvGBea9LRKYXyGCfKtQLAzyI4T5VqHsB/lbeG7hwnyrUvQB/Ne8KZLhPFer5AI8HL9xT0QT7XvAw6ZYh0oluxvf/BguHRmhIJ0iOvJHxTd8i1NTL0Wt+wcQjL2NJ/6Cv9XpOti5l/6KLwIxQJsWC0VM0pBNMhGP0tSxiuKmTZxo7WHdqD4tHjvtdLlB+Bz7bDn+ulduBz7bDr4RyO/DZdvjzzdAx9nkzXai/5eK357t3CMYx91KhDrCp4+p89w7+H3MvFeoA6xo25bt3CMYx95KhTjbEr4nfnN01H4Bj7l6nnm4ZIJ3opu3xm7lq/5OsP/UMq/oPcMHxw1z4iysIjXURbuzl5FU/pq+t0bd6PYONnflQXzZwiKsO3Z+vef2pZ7jq0P0sGzgEZuxfdBGDjZ1+lywiRQIV7NOFuidI4T5dqHuCEu7ThbonSOE+Xah7ghLu3jH1VOtQPtTXnDxB2KUnjYslIlxw71X5cD+x+W7fJ9Qd7VyTD/VV/fvPqjns0qzq358P96Oda3yqVOQ8mWEVvvklMMFebqh7ghDu5Ya6x+9wLzfUPUEI93JD3eN3uBdOlPN2v688deqc4yPJGGvv20xmvBuaTnHguh2+hftYQzPDTZ2EMimWDxwqOXb5wCFCmRTDTZ2MNTTPU4UiUo5ABPtMQ93jZ7jPNNQ9foX7TEPd42e4zzTUPX6Fe/Hs9/jBrSwYGj+r6y0WS0Ro3PVG0oluJlqHfTsVbqipC4AFo6emrTns0iwYPTVpO5FqEzKr6M23n8u37yxSy3L/qBvS5QV0JJ2sZDVlSYfCQPk1N+Rq9rYTkWAIRLDPtvOebac/F2bbec+20z9fs+28Z9vpz4XZdt6z7fTPVyQZY80DW4gOt5Jp7qdpzTaSsdKdL2Q7/fil3yYc6yU02unbqnThTLbWiXB533siHJ20nUi10TH2CptpuPsZ6p6Zhrtfoe6Zabj7GeqemYa7X6Hu8cK9YaSNcKyX8U3fIhFLnXO8t/veNfeRTnSzfMcNvi1Y0x7vB6CvZRFpK92Fpy1MX8uiSduJVBMje9nWSt78Ephgh/LDPQih7ik33P0OdU+54R6EUPeUG+5+h7onkoyx9v5rIL6IUGMvB16wc8pj5sUT7cLPvJW2scy81+tpnhijLT5AJhThaOfqkmOPdq4mE4rQFh8I1Ep0IhKwYIfpwz1Ioe6ZLtyDEuqe6cI9SKHumS7cgxLqnkgyxpKdN5Ie7ybT3M9z1z8yqXMvDvX4gd9meYnZ8/Nl+cBBcI5jnas53LXurM49bWEOd63jWOdqcC47XqRKWYX/80sgV57zgrp4hbni+0EIdc+mjqunXGHOu+/xO9Q96xo2TbnCnHffE4RQ96zneVOuMAcEKtQ9C4bHmXjkZZy86sfQ3MveGx6jcdcbiaSTxC/9Nq75TKivPXE0EEu0dowPsO7UHvYvuohjnas50b48t/JckolwlL6WRWRCEXCOdaf2BKJmCM6KcuUK0opy5aqWFeUkoMEOpcMdghXqnqnCvVBQQt0zVbgXClKoe6YMdwhcqHuW9A/SsOMGTmy+m1BTL/FLvwVAONaX3/1+0al9gQlIgMUjx4mmxvNrxZ9qWzrpea0VL7WiVpeUDWyww9nh7gliqHuKw90TtFD3FIe7J4ih7ikOdyCQoe5ZMDxO+y8u58B1O6C1F4DQaCcrd1xD29hen6ubWsf4AB3HBwJ/dTe/rtI2W35epW22quEqbTJZ4I6xFys+5h7kUPcUH3MPaqh7io+5BznUPZOOuQc41D3ehLrocCvR4VYuuO9qXyfKlat5YoylQ0dYMXCIpUNHAhXqIufDKrw4jZ8L1AS6Y/cUXwSmGnidu3c/6LzO3btfDbzOPX8/4LxT4bz7IiKVUBXBDtUT6IWqIdALVUugF6qGQC+kQBcJjlo9xh74XfEiIiJSvqrp2EVEROaSOnYREREJPHXsIiJSd7JrxatjFxERkYBTxy4iInVJx9hFREQk8NSxi4hI/fH5mumVpI5dRESkhqhjFxGROuTvNdMrSR27iIhIDVHHLiIidceo81nxZnaTmT1jZnvN7NZKFyUiIlJptXrZ1mmD3czCwKeB1wCbgLebWfVdBkxERKQOlLMrfguw1zm3D8DMvga8AdhVycJEREQqqZ53xa8ADhc87sl9TURERAKmnI59qo807qxBZluBrbmHiZZY7MnzKWyeLQJO+V3EDFVbzdVWL6jmyvtGldWbpZor7+JKf4OHHnroLjNbVOFv48vfeTnB3gOsKni8EjhaPMg5tw3YBmBmO51zm+ekwnlQbfVC9dVcbfWCap4P1VYvqOb5YGY7K/09nHM3Vfp7+KWcXfE7gA1mts7MosDbgG9XtiwRERGZjWk7dudcyszeC9wFhIHbnXNPVbwyERERmbGyFqhxzm0Hts/gdbfNrhzfVFu9UH01V1u9oJrnQ7XVC6p5PlRbvYFizp01D05ERESqlNaKFxERqSFzGuzVtvSsmd1uZr1mVhWn5pnZKjP7iZntNrOnzOwDftc0HTNrNLMHzeyxXM1/6XdN5TCzsJk9Ymbf8buWcpjZATN7wswenY8ZxXPBzDrN7D/M7Onc7/QL/K6pFDO7OPf3692GzOz3/a6rFDP7g9y/uyfN7Ktm1uh3TdMxsw/k6n0q6H+/QTVnu+JzS8/uAV5J9hS5HcDbnXOBXaHOzF4EjABfdM5d5nc90zGzZcAy59zDZtYGPAS8MeB/xwa0OOdGzKwBuAf4gHPufp9LK8nM/hDYDLQ7517ndz3TMbMDwGbnXNWcq2xm/wrc7Zz7XO6Mm2bn3IDPZZUl9353BLjWOXfQ73qmYmYryP572+Sci5vZN4Dtzrkv+FvZuZnZZcDXyK54mgS+D/yuc+5ZXwurMnPZseeXnnXOJcn+z3nDHL7+nHPO/Rzo87uOcjnnjjnnHs7dHwZ2E/BVAF3WSO5hQ+4W6IkdZrYSeC3wOb9rqVVm1g68CPg8gHMuWS2hnvNy4LmghnqBCNBkZhGgmSnWIAmYjcD9zrkx51wK+Blwi881VZ25DHYtPTuPzGwtcBXwgM+lTCu3W/tRoBf4oXMu6DX/H+CPgYzPdcyEA35gZg/lVoEMuvXASeBfcoc8PmdmLX4XNQNvA77qdxGlOOeOAB8HDgHHgEHn3A/8rWpaTwIvMrOFZtYM3MzkBdKkDHMZ7GUtPSvnz8xagTuA33fODfldz3Scc2nn3JVkVy3cktvdFkhm9jqg1zn3kN+1zNANzrmryV6F8fdyh5mCLAJcDXzGOXcVMAoEfl4OQO6wweuBf/e7llLMrIvsXtN1wHKgxcx+zd+qSnPO7QY+BvyQ7G74x4CUr0VVobkM9rKWnpXzkztOfQfwZefcN/2uZyZyu1p/CgR5KccbgNfnjll/DXiZmX3J35Km55w7mvuzF7iT7KGxIOsBegr23vwH2aCvBq8BHnbOnfC7kGm8AtjvnDvpnJsAvglc73NN03LOfd45d7Vz7kVkD5Xq+PoMzWWwa+nZCstNRPs8sNs59/d+11MOM1tsZp25+01k32ye9rWoEpxzH3LOrXTOrSX7O/xj51yguxwza8lNpiS3O/tVZHdpBpZz7jhw2My8i328nOq5FPTbCfhu+JxDwHVm1px773g52Xk5gWZm3bk/VwNvojr+rgOlrJXnylGNS8+a2VeBlwCLzKwH+Avn3Of9raqkG4B3Ak/kjlkD/GluZcCgWgb8a24WcQj4hnOuKk4hqyJLgDtz15aOAF9xzn3f35LK8j7gy7lGYB/wbp/rmVbuuO8rgff4Xct0nHMPmNl/AA+T3Z39CNWxotsdZrYQmAB+zznX73dB1UYrz4mIiNQQrTwnIiJSQxTsIiIiNUTBLiIiUkMU7CIiIjVEwS4iIlJDFOwiIiI1RMEuIiJSQxTsIiIiNeT/B9IDDuUHsdIPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 648x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "plt.figure(figsize=(9, 9))\n",
    "\n",
    "plt.pcolor(som.distance_map().T, cmap='bone_r')  # plotting the distance map as background\n",
    "plt.colorbar()\n",
    "\n",
    "# Plotting the response for each pattern in the iris dataset\n",
    "# different colors and markers for each label\n",
    "markers = ['o', 's', 'D']\n",
    "colors = ['C0', 'C1', 'C2']\n",
    "for cnt, xx in enumerate(data):\n",
    "    w = som.winner(xx)  # getting the winner\n",
    "    # palce a marker on the winning position for the sample xx\n",
    "    plt.plot(w[0]+.5, w[1]+.5, markers[target[cnt]-1], markerfacecolor='None',\n",
    "             markeredgecolor=colors[target[cnt]-1], markersize=12, markeredgewidth=2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To have an overview of how the samples are distributed across the map a scatter chart can be used where each dot represents the coordinates of the winning neuron. A random offset is added to avoid overlaps between points within the same cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xilOtDs9S3SUehdTIXFnqxesykiYmXpdBRanXgqgSTcdmJz+AmFoTafmioza82OVorlr/IvqEr/cphmAwyMknncT27ds58cQTmT17Nnt276ahoYFzzjkHgG9961t8+ctfBmDq1Kl87Wtf47LLLuOyyy4D4ODBg3zrW99i8+bNKKWIRqN9isXuEpUSmb7JuELYAtvVPXiX43DDWccvHpmoXMgK8B4KN+F/9mtJf3r0P/s1Gq9bXfDr7fM58ejNJM2siYO4b9m2pNcMYPYEaxaAOQyFoVTSxMRQCrcz0VSq9m9t/bvdnooGUAe2Jl2G1xOHe0oOHjzIZZdeysMPPcSXvvSlTp//yiuvsHz5cl566SVuv/121q9fz89//nNmzJjB3/72N7Zt21YQJwInk6iUHGt1GGmXk9/p830LbFf34NEQ7WQEKROVi94eoFeoXJsWdPnTo2vjAll3n6d6O0lT5HYwb+5xHd7HAObNPc6yJlefy+jyej9v4tuBPmYM2uVPmpholx89YEzKsfTv3595v/kNX7r8cr75zW8yYMAA3n77bc466yz+9Kc/cc4552CaJtXV1cyYMYMzzzyTp556iqamJg4ePEh5eTlQmAfxHSaVEpE2Xd2D/8rJZTzzQW2XlYt0ju/KRtWeMQ50/dOj0VCV5YhENvR1kmZaRT/+fs3JLPpkLzUNISpKvcyeMMiyhAQSP2RUDvB2mL4BqBzgbW1y1cdfBm/e1MmLGOhJl6UlnhNOOIEpU6fy/PPP88QTT7Q2uo4ZM4Y//vGPxONxvv71r3Pw4EG01vzwhz+ktLSUn/zkJ3zrW99i3rx5zJw5My2x2JFUSkRadXYPXmv4y4d1Sd9HKcXwfh5m/+bdtDbBFlojYl+YA7r+6dEsHW1BVCLTUpmk8bsdlkzZdMXvdjB+SFFiT0nMxO00EntK2q4p8ZQQv/IvHadvlEH8yr+k1OR6oKVZ9bAXX3yRYCBAv379eO+99zo8f8WKFR0e+/znP8+nnx6pENx+++19jsfOwuEwn36a/KBLO5PvOhbq7B58Z5WLe1pGKzMxvpvP/QDpEJ14Kd4ltyS/qAyix12a3YBEVuTqJE0qDEViyqYLesRpxH6wHrX+xUQPyYAxiQpJilM3QnRHkpIc1FnlYuE6Gd+1jKeYwJef7DB9gzIIfPnJgm9yzVe5OkmTFe5i9Alf73NTq8gsj8crt2+yqdBPCk5WuZDxXWvFK06l8brVuDYuwGiowiwdnaiQSEKSt3J1kkaIcDgkja7ZIicFJyfjuznAXSRTNgUkVydphJBKSZbIScGdk/FdYSf5cshjLk7SCBEOh6TRNRsK7aTg3sil8d18+YYjMiPfDnnMxUkaUdg8Hi/HHjve6jDSLue+ixTSScF9kQvju/n2DUeklxzyKDqzc+dO/vu//5uVH36I2+Nh1MiR/OIXv+DEE0/MyMcrLi6mqamJuro6vv/97/Pcc89l5ONYIVEp6WQJp43l3FeGQjkpOBVWju/KNxzRHTnkMT80R5t5Y/vr7GisZkRJJeePvIAiV9+burXWfPlLX+Ib3/gGTz75JJA4HXj37t3pCrlTZWVleZWQgFRKsubcCYO59e8bkl7Lp5OC7Uq+4YjuyJSY/X28+2O+t/S7aDTBWBCf08f/rfw/7p/xACcMOaFPr7ls2TJcLhff/v/+v9bHpk+fzp7du5k1axYHDhwgGo1yxx13cOmll7Jt2zYuvPBCzjzzTN59913Ky8tZsGABPp+PRx99lPnz5xOJRBg3bhx/+tOf8Pv9VFVVcdVVVxGLxZgzZ07rx9m2bRsXX3wx69atY9u2bXzjG9+gubkZgAceeIDTTz+dZcuW8b//+78MGjSIdevWcdJJJ/HnP/8ZpVSHzyUXSE9JFhyeumn/Lc/jNHA6VF6dFGxX8g1HdEemxOytOdrM95Z+l0DsyK3yYCzx7/p7S7/LG3PfxO/qfcV6/bp1SW/TeL1e/va3v9GvXz/27t3LaaedxiWXXALA5s2befrpp3n00Ue54ooreP755/n617/O3Llz+c///E8AbrrpJv7whz/wve99j//6r//i2muv5Zvf/CYPPvhg0jiGDBnCm2++idfrZfPmzXz1q1/lww8/BODjjz9m/fr1lJWVccYZZ/DOO+9w5pln9vpzzQaplGRYsqmbwzSaxdefw+CSPF5UZBPyDUd0R6bE7O2N7a+jO1mZptG8sf11Lhv3L2n7eFprbrzxRpYvX45hGNTW1rJr1y4ARo8ezfTp0wE46aST2LZtGwDr1q3jpptuoqGhgaamJi644AIA3nnnHZ5//nkAvvGNb/DTn/60w8eLRqN897vfZdWqVTgcjqNW1p9yyilUVFQAiSrOtm3bcjYpCYdDbN4slZKM6WrqxmEYLP1kT8FO3eQS+YYjutPbKTGZ5MotOxqrWysj7QVjQXY0VvfpdY+fNIkXXnihw+N//etf2bNnDytXrsTlcjFq1ChCocT6fo/H0/o8h8NBMJiI6+qrr+bFF19k2rRpPP744yxbtqz1ed3dbvnNb37D0KFDWb16NaZp4vUe+WG3/ceLxWJ9+lyzweuVSklGydSNPeTSWLLIXT2dEpNJrtwzoqQSn9OXNDHxOX2MKOnbD4czZszg5zfdxB9+/3v+/T/+A4APP/iA6upqhgwZgsvlYunSpWzfvr3b12psbGT48OFEo1GefPJJysvLATjjjDN45pln+PrXv97aTNvewYMHqaiowDAMnnjiCeLx5N93cl0oJD0lGSVTN/aRC2PJIvd1NyUmk1y56fyRF/B/K/8v6TWF4vyRF/TpdZVSPPvcc/z3f/83d999Nx6vl1EjR/LjH/+YG2+8kZNPPpnp06czceLEbl/r9ttv59RTT2XkyJFMmTKFxsZGAO677z6uuuoq7rvvPi6//PKk7/ud73yHyy+/nGeffZYZM2ZQVGTPYyKkUpJhF00dzi9e3Zj0mkzd5B45VVikSia5clORq4j7ZzzQYfpGobh/xgN9anI9rKysjKeffvqox4KBAP/4xz+SPn/dunWtb//oRz9qffvaa6/l2muv7fD80aNHH/VaN9xwAwCjRo1qfa3x48ezZs2a1uf88pe/BODcc8/l3HPPbX38gQce6OmnZYlQKCx7SjKp2OPksW+d3OHMG0MhUzdC5CGZ5MpdJww5gTfmvtlhT0kqCYlIL6/XI5WSTDt51DH844aZvLK2nu17A4wc5OeiKcMlIREiD8kkV27zu/xpnbIR6SWVkiwp8jhlykaIAiCTXEL0XaJSMs7qMNKuR0mJUuqHwH8AGlgL/KvWOpTJwIQQ+U0mubJPa52zG0rtorM+qGwLhcJs3lyAlRKlVDnwfeB4rXVQKfVX4Erg8QzHJoTIczLJlT1Ol4sD+/cz4JhjJDHpI601+/btO2q3iVW8Xg/jx1tbKVFKzQHuAxzA77XWd7W7PgB4DBgLhIB/01qv6/BCbfT0X74T8CmlooAfqOvuHYKRSA9fOjdFY3H27GuwOoyU7Nx/gFgszs7d+60OJSWRaJS9Bw5aHUZKDjY3E4/H2X+w0epQUlK3Z19G/k6dXu6F8sQX+kMNhziU1lfvKBQMU7W1+30Yuax21z6K3HFq6np2oJ3WJqFdu9m5c1eGI+udeDyWE9/ke8rt8TB0+HDLv8dZXSlRSjmAB4HzgBrgA6XUS1rrtofX3Qis0lr/i1JqYsvzZ3X1ut0mJVrrWqXUPcAOIAi8obV+I0mA3wa+DTB48GD+2cmIl11EwiGqPkl+MKBdRKNx4rEIOzZvsjqUlMQjET7bsN7qMFISj8eJRsJ8sna11aGkJBqNEYva/+8UOs6hA5k/nTaTvCpGLGKyt87eyVUoFKK4pNjqMHplx44dVocAdL+9NsNOAbZorbe2xPIMcCnQ9hvn8cAvAbTWm5RSo5RSQ7XWnWbGPbl9M6DlA40GGoBnlVJf11r/ue3ztNbzgfkAEyZM0KeefnovPrfcs2L5co6fPN3qMFKyc/c+9u+qZuLxU6wOJSXr1q5i8rTpVoeRkv2HGqnf9hlTpnc8kMxO6nftY0/tNtv/nVr18YeMGDHa6jBSUl+/l3i8mXHjj7c6lJRs3ryB02z+/cIKWbh9M0gp9WGb389v+T5/WDnQ9syBGuDUdq+xGpgLrFBKnQKMBCqAviclwGygSmu9B0Ap9QJwOvDnLt+rl5qjzSza8SY1jdVUlFQye8R5FLnsuWlPCCGEyKQs3L7Zq7U+uYvryco07buA7wLuU0qtIjEk8zHQ5YFCPUlKdgCnKaX8JG7fzAI+7PpdemfVnlVc/9b3MbUmFA/idfi47+N5zDvnt0wfPD2dH0rkseZInMWb9lHdEKSy1MesiQMpcjusDitnNUfiLNq0l+oDQSoH+Jg9cZD8eQlhEznQ6FoDtN3fUUG7flOt9SHgXwFU4l5TVcuvTvWkp+R9pdRzwEckMpyPablNkw7N0Wauf+v7BGJHDtwLxRObHK9/6/u8fOlC2SIourW65hDXv7AJEwhFTbwug/uWbWPe3IlMq+hndXg5Z1XNIX74/AZMfeTP696lVfzm8uOZLn9eQuS8RKXkMytD+AAYr5QaDdSSmMq9qu0TlFKlQEBrHSGxVmR5S6LSqR5N32itbwFu6UPQ3Vq0403MTua+Ta1ZtOMNLhl7WSY+tMgTzZE417+wiUCbzaChlrevf2ETf7/mJPxSAWjVHInzw+c3EIh0/PP64fMbeOXaz8mflxA5LlEpGWvZx9dax5RS3wVeJzES/JjWer1S6pqW648AxwH/TykVJ9EA++/dva7lywBqGqtbKyPtheJBqpuqk14T4rBX1+8hGu8ksQUWfbKPS6bIdtDDFm3ai9nJ/idTJ65fMnVodoMSQvRKDlRK0Fq/Crza7rFH2rz9D6BXB/RYnpRUlFTidfiSJiZeh4/KYlk5Lzq3uuYQv126jVgn32RDUZOaBlk+3Fb1gWBrZaS9UNSkWv68hMh5VldKMsXypGT2iPO47+N5Sa8ZSjF7xPlZjkjYxeHbNp0lJABel0FFqX0WM2VD5QAfXpeRNDHxugwq5c9LiJyXqJRstTqMtLM8KSlyFTHvnN92mL4xlGLeOb+VJlfRqcWb9pH85/0jDGD2hIHZCMc2Zk8cxL1LkzfAGypxXQiR26RSkkHTB0/n5UsXsmjHG1Q3VVNZXMnsEedLQiK6VN3Q+W0IAKehmDd3ojRttlPkdvCby4/vMH1jKPjN5cfLn5cQNhAOh9myxdqekkzIiaQEwO/yy5SN6JXK0s5vQzgdiv86Z6SMA3diekU/Xrn2c4k9JQ0hKku9zJ44SBISIWzC45FKiRA5ZdbEgdy3bFvSa25D8YVJg7MbkM343Q6ZshHCpqRSIkSOKXI7mDd3YoelaQZk7LaNbI0VQuQCj8fDuHFSKREip0yr6MffrzmJRZ/so6YhREWpl9kTBmYkIZGtsULksXATjo0vYhzYijlgDPHjLgNP7p5eHA5H2LJFpm9EjmmOxFn86T5qDoSoGOBl1rGF95O73+3I+HI02RorRP4yqt/D89erQJuoaADt8sPimwlf8RRm5WlWh5eUx+Nm3LgxVoeRdpKU2Njq2kZ+9OLRP7nf/9Z27rlsItPKS6wOL690NX4sW2OFsLFwE56/XoWKNLU+pKKJs9g8f72K4PfWgDv3KiaJSkmXZ9vZkiQlNtUcifOjF5P/5P6jFzex4D9PtCq0vNTV+LFsjRXCvhwbXwTdyY8c2sSxcQHxaV/Lakw9kegpkUqJyBGLP+36J/fFn+7jc0P6fjshEImzePP+1j6NWeOPKejbE12NH8vWWCHsyziwtbUy0p6KBjAOVBHPckw9kZi+kZ4SkSNqDoS6/cn9c0OK+vTaa+oa+fFLmxOLtWImXqfBA29Xc/cl45laVpi3hboaP5atsULYlzlgDNrlT5qYaJcfc8BoC6LqnlRKRE6pGODNyE/ugUicH7+0+ejbQrHE2z9+aTN/+7dpBVkxsWL8WAiRefHjLoPFNye/qAzix12a1Xh6SiolIqfMOnYg97+1Pek1o+X6oYaGXr/u4s37uzzWfsnm/VxcoEvJsjl+LITIEk8x4Sue6jh9owzCVzyVk02uIJUSkWOK3A7uuWxih+kbA7jnssRP7of68Lo1DaHWykh7oZhJzcFwKmHbXjbGj4UQ2WVWnkbwe2twbFyAcaAKc8DoRIUkRxMSSFRKPvtMKiUih0wrL2HBf56Y2FNyuCH12NR+cq8o9eJ1GkkTE6/ToKK/J5WQhchLgajJ8m2N1B2KUtbPxdmjSvC7DKvDEr3hLiY+7Ws52dTaufz7OyZJic353Q6+ODl9P7nPGn8MD7xdnfSaoWDm+GPS9rGEyAfrdwW5eXEtGgjFNF6n4tEP9nDbrHImDfVZHZ7IU4nbN7nZhJsKSUrEUfxuB3dfMr7D9I2h4O5Lxkv/hBBtBKImNy+uJRg70ogVann75sW1/PnLY/BJxURkQOL2jSxPEwVgalkJf/u3aSzZvJ+ag2Eq+nuYmcE9JbITRdjV8m2NdNIXjm65fsH4/tkMSRQIj8fD2LFSKREFwu92ZGXKRnaiCDurOxRtrYy0F4pp6hqjWY5IFAqplAiRZrITRdhdWT8XXqdKmph4nYqyEpcFUYlCIJUSIdJMdqIIuzt7VAmPfrAn6TXVcl2ITJBKSY5rDsd4bd0utu8LMHKgnwsnD6XIkzefXl6SnSjC7vwug9tmlXeYvlHAbbPKpclVZIxUSnLYyu0NXPvnjzG1Jhg18bkMfr3wUx7++gmcNLI0q7EEYgHe2rmUuuYayooqOGfYDPxOf1ZjsAvZiSJ6KxeboicN9fHnL49J7ClpjFJWkthTIgmJyKREpWSb1WGkne2TkuZwjGv//DHNkSMrb4ItPQrX/vljlv7orKxVTNYdWMvPV96AxiQUD+F1eJm/6SFuP+kuJg+YkpUY7ER2oojeyOWmaJ/LkCkbkVVSKclRr63bhamTNyaYWrNw3S4uP6k843EEYgF+vvIGgvEjJ02G4iEAfr7yBp469zl8Tlmk1JbsRBE9JU3RQhwtHI6wdes2q8NIO9snJdv3BVorI+0FoyY79nc8jjoT3tq5FE3yODQmb+1cwpyKi7ISi52kcydKcyTO4k37qG4IUlnqY9bEgRTJN6q8IE3RQhzN43Ezduwoq8NIO9snJSMH+vG5jKSJic9lMOKY7PRz1DXXtFZG2gvFQ9QF6rIShx2lYyfK6ppDXP/C0YcT3rdsG/PmTmRaRb/0BCosk09N0XJOjkiHcDgiPSW56MLJQ/n1wk+TXjOUYs7koVmJo6yoAq/DmzQx8Tq8lPnLshJHIWqOxLn+hU1Hl/Zb3r7+hU38/ZqTpLRvc/nSFC3n5Ih0kUpJjiryOHn46yd0mL4xlOLhr5+QtSbXc4bNYP6mh5JeUxicM2xmVuIoRIs37evkxhmYwKJP9nHJlPQdWiiyLx+aouWcHJFOUinJYSeNLGXpj85i4bpd7NgfYMQxfuZkeU+J3+nn9pPu6jB9ozC4/aS7pMk1g6obgq2VkfZCUZOahuS31YR95ENTtJyTI9JJKiU5rsjjzMqUTVcmD5jCU+c+x1s7l1AXqKPMX8Y5w2ZKQpJhlaU+vC4jaWLidRlUlHotiEqkW7YPikw3OSdHpFMkEmHr1u1Wh5F2eZOU5Aqf0ydTNlk2a+JA7lu2Lek1A5g9YWBW4xGZk62DIjNBzskR6eR2uxkzZpTVYaSdJCXC9orcDubNndhh+sYA5s2daJufpEV+k3NyRDolKiXbrA4j7SQpEXlhWkU//n7NSSz6ZF/rCvLZEwbmdULSHImzaNNeqg8EqRzgY/bEQbKXJYfJOTkinaRSIkSLXDx/BBKl/UKZsllVc4gfPr8h0fTZUhm6d2kVv7n8eKbLXpacJefkiHSJRCJUVUlPiShwuXz+SKFojsT54fMbCEQ67mX54fMbeOXaz+VEkiiSk3Ny0iTchGPjixgHtmIOGEP8uMvAU2x1VCJFkpSIHpPzR3LDok17u1y5vmjTXi6Zmp2lgUJYwah+D89frwJtoqIBtMsPi28mfMVTmJWnWR1eVng8bsaMGWl1GGknSYnoMTl/JDdUH+h6L0u17GUR+SzchOevV6EiTa0PqWjijDPPX68i+L014M7/ikniQL4dVoeRdpKUiB7Lp/NH7KxyQNd7WSplL4vIY46NL4LuZIezNnFsXEB82teyGpMVpFIiCl6+nD9id7MnDuLepVVJrxkqcV2IfGUc2NpaGWlPRQMYB6qIZzkmKyQqJdLoKgpYPpw/kg+K3A5+c/nxHaZvDAW/ufx46esRec0cMAbt8idNTLTLjzlgtAVRZZ9USkTBy4fzR/LF9Ip+vHLt5xJ7ShpCVJZ6mT1xkPw/EHkvftxlsPjm5BeVQfy4S7Maj1UKtlKilJoA/KXNQ2OAm7XW92YqKJG77H7+SD7xux0yZSMKj6eY8BVPdZy+UQbhK54qiCZXKOBKidb6E2A6gFLKAdQCf8tsWCKX2fn8ESGE/ZmVpxH83hocGxdgHKjCHDA6USEpkIQEEpWSqiqZvpkFfKa1zr+akRBCCPtwFxOf9rWCaGpNxuNxM3r0CKvDSLveJiVXAk8nu6CU+jbwbYDBgwfzjxUrUgzNWqFgkNUff2h1GCkJh6MYhmbN6o+tDiUl0WiYVSvt/f8iGouBGefjDz+wOpSUhMIRlDZZs+ojq0NJSSwaYfPmTVaHkZJwOIrH42LDhjVWh5KSeDzKP955x+owbCccjrBtm7WVEqXUHOA+wAH8Xmt9V7vr/YE/AyNI5Bv3aK3/2NVr9jgpUUq5gUuAnyW7rrWeD8wHmDBhgv7c5z/f05fOSf94ewXHT5pqdRgpqa3bTWPDLsYfO8nqUFKyccMapkw70eowUrK34SB7arczedp0q0NJyY4d9TTsrWfcuOOsDiUl69d/zKhR9p7S2LlrP+gw44893upQUvLppxs446yzrA7DdqyulLS0czwInAfUAB8opV7SWm9o87TrgA1a6y8qpQYDnyilntRaRzp73d5USi4EPtJa7+pD/EIIIYRIk3A4SlVV8hUNWXIKsEVrvRVAKfUMcCnQNinRQIlSSgHFwH4g1tWL9iYp+Sqd3LoRQgghRPZkoVIySCnV9r75/JY7IoeVA22zohrg1Hav8QDwElAHlABf0bqzdbwJPUpKlFJ+EiWa/68nzxdCCJEaI9pMac1i3M01RIoqaKiYhekqsjoskSOyMH2zV2t9chfXVZLH2p+OdgGwCpgJjAXeVEq9rbU+1NmL9igp0VoHgIE9ea4QQojU+PeuZvS7P0qc5RIPEXd4Gb72fqpOv4fAoGlWhydygNU9JSQqI5Vtfl9BoiLS1r8Cd2mtNbBFKVUFTAT+2dmLykZXIYTIIUa0mdHv/ghH7MgadUc8cfLz6Hd/xMYvLMB0+q0KT+SIHNhT8gEwXik1msT+siuBq9o9ZweJVSJvK6WGAhOArV29qCQlQgiRQ0prFnd5Cm7/msUcGPXF7AYlco7VlRKtdUwp9V3gdRIjwY9prdcrpa5puf4IcDvwuFJqLYnbPT/VWu/t6nUlKRFCiBzibq5prYy054iHcDfVZDkikYsSlRJLp2/QWr8KvNrusUfavF0HnN+b15SkRAghckikqIK4w5s0MYk7vESKKyyIKs+EG3FseBF1YCt6wBjix18GnhKro+qVRKWksvsn2owkJUIIkUMaKmYxfO39yS8qg4MVs7IbUJ5R1e/hfubKow7zcy76OZErn0FXnmZ1eD2WqJTkX9XMsDoAIYQQR5iuIqpOv4e400/c4QUSFZK400/V6fdIk2sqwo24n7kSFWlCRRONxCoaQEWaEolKpMniAHtHqcz9sopUSoQQIscEBk1j4xcW0L9mMe6mGiLFFRysmCUJSYocG17ssonYseFF4tO/ntWY+kpu3wghhMga0+mXKZs0Uwe2tlZIOlyLBlAHqrIcUd9FIhG2bbO20TUTCjYpCUSbWVy9iJqmaiqKK5lVORu/bEsUeaA5Emfxpn1UNwSpLPUxa+JAitwOq8MSwnJ6wBi0y580MdEuP3qAfQ5pdLvdjBollZK8sHrvKn789g8xtUkoHsLr8HL/6nu5+6zfMG3QdKvDE6LPVtcc4voXNmECoaiJ12Vw37JtzJs7kWkV/awOT+Q4FW2mqOo1XIe2E+03kubRF6Lz6Ie1+PGX4Vz08+QXlZGYwrEJqZTkiUC0mR+//UMCbbYlhlpG73789g958Yuv4Jf7tsKGmiNxrn9hE4HokXvmoZa3r39hE3+/5iT8UjERnfDsWsmwRdeANjFiQUynj4Ef/Iqdsx8hPPQkq8NLD08JkSuf6TB9gzKIXPkMuIs7vk+Ojg9LpSRPLK5ehNlJo5OpTZZUL+Li0ZdkOarcEojEWfrZAWoOhqno72HG2AHyzcwGFm/aR2fHb5rAok/2ccmUIdkMSdiEijYzbNE1GNHm1seMWBCAYYuuYccVy/KmYqIrTyP8X+taEo0q9IDRiUQjSUKSy+PDiUpJ/o0EF1xSUtNU3VoZaS8UD1HTmH/lsN5YW9/EDa9+hqkhFDPxOg0eereWu74wlinDk/wUIXJGdUOwtTLSXihqUtOQ/O+9EEVVr3U5lVJUtZCmYy/PblCZ5C7ufsqmzfjwYYd7UdzPXEn4v9Ylr6xkiVRK8kRFcSVehzdpYuJ1eKkoyb//yT0ViMS54dXPji7/xxJv3/DqZzz3zcn4XFIxyVWVpT68LiNpYuJ1GVSUei2IStiB69D21spIe0YsiKtxe5Yjsl6ujw9LpSRPzKqczf2r7016zVAGMytnZzegHLL0swOYOvk1U8OSLQ1cdNzA7AYlemzWxIHct2xb0msGMHuC/L8TyUX7jcR0+pImJqbTR7RkpAVRpVkve0NyfXw4USnJvyMHCi4p8buKuPus33SYvjGUwd1n/aagm1xrDoZbKyPthWImdQfDWY5I9EaR28G8uRM7TN8YwLy5E6UvSHSqefSFDPzgV8kvKoPm0XOyG1Ca9aU3JNfHh6VSkkemDZrOi198hSXVi6hprKaipJKZlbMLOiEBqOjvwes0kiYmXqdBWX+PBVGJ3phW0Y+/X3MSiz7ZR01DiIpSL7MnDJSERHRJu4rYOfuRDtM3KIOdsx+xd5NrH3tDcn18WColecbv9Bf8lE17M8YO4KF3a5NeMxTMHFea3YBEn/jdDpmyEb0WHnoSO65YRlHVQlyN24mWjKR59Bx7JySk0BvSl/HhLIpEImzfLpUSkcf8bgd3fWFsh+kbQ8FdXxgrTa5C5DntKsqvKRtS6w3pzfhwtkmlxKaawzFeX7+bHfsDjDjGzwWThlDkye1POxAL8PauZdQF6ijzl3HW0HOzdmtpyvBinvvmZJZsaaDuYJiy/h5mjiuVhEQIYUsp94b0ZHzYApFIlG3bkle27Sy3vzun6KMdDVz31Bq01gSjJj6Xwd1vbOHBq6Zy4ohSq8NLan3DOm5ZdSNaa0JmCK/h5dHNj3Dr9DuZVDo5KzH4XA6ZshFC5IWUe0NydqOrSyoldtIcjnHdU2sIROKtjwVb9jdc99QaFl9/On53bn36gViAW1bdSDB+ZCwvZCb2qdyy6kb+dOZf8Dl9VoUnCoAc5ifyTgq9Ibm90TUqPSV28vr63WidfOmG1pqF63cz94SyLEfVtbd3Lesy5uW7l3FB2YVZjkoUCjnMT+SrPvWG5PxGVxcjR0qlxDZ27A+0VkbaC0ZNqvcn315opbpAXWtlpL2QGaI+UJfliEShkMP8RN7rZW9I7m90jbJ9u/SU2MaIY/z4XEbSxMTnMqg8Jvdug5T5y/Aa3qSJidfwMtyfW5UdkT/kMD8hjpb7G11djBxZbmkMmZC3SckFk4Zw9xtbkl5TSjFnUu59gT1r6Lk8uvmRpNeUUpw95NzsBpRGcvJwbpPD/IQ4Wu5vdM3PSolhdQCZUuRx8uBVU/G7HfhciU/T5zLwux0tj+dePuZ3+rl1+p34HD68RuLwNK/hxefwJR63WZNrIBLnlY17+cWibfzLE2u5f0UNz6zazQPv1PLlP61jbX1T9y8isuLwYX7JyGF+ohDFj78MVCffInNgoyskfljN1C+r5N535jQ6cUQpi68/nYXrd1O9P0jlMT7mTBqSkwnJYZNKJ/OnM//C8t3LqA/UMdxfxtlDzrVdQrK2vqllCZsmFDu6eVdOHs49+XKYXyASZ+nWBmoPhSnv52HGmFKpyIm+yfGNrnL7xqb8bmeHKZtcX6jmc/psPWUTiMS54dXPjmqaTEZOHs4d+XCY39qdTfxsYVVix09M43UqHn6vjl/OGc2UYdZv4BT2k8sbXfP19k3ufCfOEjsuVLObpZ8dwEw+2XwUOXk4t9j5ML9AJM7PFlYd1dieqNBpfrawime/drxU5ETfFqHl6EZXqZTkATsuVLOjmoPhpCcNtycnD+ceux7mt3RrQ5c7fpZ+1sAXJkpFrpDl8iK0vpBKSR6w40I1O6ro78HrNLpNTOTkYZEutYfCHXqXDgvFNHWHIlmOSOSUHF+E1hdSKckDdlyoZkczxg7goXc7z+A9DoXDUHLysEib8n4evE6VNDHxOhVl/dwWRCVyRa4vQuuLRKUk/xZqFlRSYseFanbkdzu46wtjW6ZvEr0jXqfC1HD26FKml5fIycN5yqrplxljSnn4vTqgY1KilGLG2NKMxyByV64vQuuLRKUk/yr7BZWU2HGhml1NGV7Mc9+czJItDdQdDFPW3yOJSJ6zcvrF73bwyzmjO3x8pRS/nDNa/t4VuFxfhNYXkUiUHTvqrQ4j7QoqKTm8UK399I1SKmcXqtmZz+WQcd8CkQvTL1OGFfPs145n6WcN1B2KUNbPzYyxkgiLxCI056KfJ7+YI4vQesvtdjNihFRKbM+OC9VEYWmOxFm8aR/VDUEqS33MmjiQohwfy82V6RefyyFTNvmuL2O9Ob4IrS8ikQg7dkhPSV5ItlBNiFywuuZQhwVm9y3bxry5E5lW0c/q8Dol0y8iG1IZ683lRWh9IZUSIURGNUfiXP/CpqM24R4+JO/6Fzbx92tOytlFZjL9IjIuHWO9OboIrS+i0QjV1VIpEUJkyOJN++hss4sJLPpkX84uNpPpl9ymos0UVb2G69B2ov1G0jz6QrSryOqweiUfx3pTIZUSIURGVTcEWysj7YWiJjUNoSxH1HMy/ZK7PLtWMmzRNaBNjFgQ0+lj4Ae/YufsRwgPPcnq8HosH8d6UyE9JUKIjKos9eF1GUkTE6/LoKLUa0FUPSfTL7lHRZsZtugajGhz62NGLLEkctiia9hxxTLbVEzycaw3FVIpEUJk1KyJA7lv2bak1wxg9oTcnyqR6ZfcUlT1Wpe3PIqqFtJ07OXZDaqP8nGsNxWJPSU7rQ4j7SQpESJHFLkdzJs7scP0jQHMmzsxZ5tcRe5yHdreWhlpz4gFcTVuz3JEKcjDsd5UuN0uRowYbnUYaSdJiRA5ZFpFP/5+zUks+mQfNQ0hKkq9zJ4wUBIS0SfRfiMxnb6kiYnp9BEtGWlBVH2Xb2O9qSjoja5KqVLg98BkEu31/6a1/kcG4xKiYPndjpydshH20jz6QgZ+8KvkF5VB8+g52Q0oHfJorDcVhV4puQ9YqLX+klLKDfgzGJMQQog00K4ids5+pMP0Dcpg5+xHbNPkKjqKRKJUVxdgpUQp1Q84G7gaQGsdAWQ9oxBC2EB46EnsuGIZRVULcTVuJ1oykubRcyQhsTm320VlZWFWSsYAe4A/KqWmASuB/9JaN3f2DlprDgaSz5PbRSQao65+r9VhpOTTT3cwcICD2rpdVoeSklA4ws6d9v5/sb1uF34jxs6d+6wOJSWbNm3jmH6KHTtqrQ4lJYFAkE8/TX5iuF1UbdvJcRNHUF3dw3/fvjMTvwB2NgFNXT49W6KxGMGI/JzbWwVbKWl5zonA97TW7yul7gNuAI6azVJKfRv4NsDgwYPZvGZNumPNLjPGoQP2/h8+cIADMx4j0GTvb+gOA/bvqbE6jJR4VZxoLMqenTusDiUlA/sbmGaMSOSg1aGkxOfz4Hbbe/X9hGPLMc04wYC9E10zFuXjf/7T6jBsSSlldQhp15OkpAao0Vq/3/L750gkJUfRWs8H5gNMmDBBn3DKKWkL0grvr3iHYydMtjqMlNTU7iLQtIdx44+zOpSUbNywlgkT7f3/YueufRxs2MlEm38e27bVEAzsZ/To8VaHkpKNG9dSVlZhdRgpqavbi2HEGDt2otWhpGTLZxs59fTTrQ7DdnLh9o1Sag6JnlMH8Hut9V3trv8Y+FrLb53AccBgrfX+zl6z26REa71TKVWtlJqgtf4EmAVs6OPnIIQQQogUJW7fWLc8TSnlAB4EziNRvPhAKfWS1ro1P9Ba3w3c3fL8LwI/7CohgZ5P33wPeLJl8mYr8K+9/xSEEEIUEhVtpmTbazgbdxArGUHjKPsdBJirEpWSYVaGcAqwRWu9FUAp9QxwKZ0XLb4KPN3di/YoKdFarwJO7lGYQgghCp5390eULbkWODKKPGjl3dTNfJjQkBOtDs/2slApGaSU+rDN7+e3tGkcVg5Ut/l9DXBqshdSSvmBOcB3u/ugstFVCCFEWqloM2VLrsWIdTwIsGzJtVRdvjSxIl70WRYqJXu11l0VI5J12epOnvtF4J3ubt2AJCVCCCHSrGTba0AnBwFiUrz9NRrH2eMgwFxldU8JicpIZZvfVwB1nTz3Snpw6wYkKRFCCJFmzsYd3RwEaO/R+FyQAz0lHwDjlVKjgVoSicdV7Z+klOoPnAP06GwASUqEEEKkVaxkRDcHAY6wIKr8kqiUWLcYU2sdU0p9F3idxEjwY1rr9Uqpa1quP9Ly1H8B3uhq4WpbkpQIIYRIq8ZRFzJo5d2dXDVoGnlhVuPJRzlQKUFr/SrwarvHHmn3+8eBx3v6mpKUCFHAApE4S7YcoKYhREWpl5njBuB3O6wOS9icdhVRN/PhDtM3YFA382Fpck2DSCRKTY2lPSUZIUmJEAVqTV0TP3l5M6aGUMzE6zR4YEU1v754PFPLiq0OT9hcaMiJVF2+lOLtr+Fq3EG0ZARNIy+UhCRNcqFSkgmSlAhRgAKROD95eTOB6JEJiVAs8fZPXt7MC1dPlYqJSJl2+WXKJkMikRg1NfY+bDUZSUqEKEBLthzA7GSjgKkT1y8+flB2gxJC9Jjb7aSiYqjVYaSdJCVCWMDqXo6ahlBrZaS9UMyk9mAoa7EIIXpPKiVCiLTIhV6OilIvXqeRNDHxOBTl/b1ZiUMI0TdSKckBgWgzS2oWU9NUTUVxJTMrZuGXw51EFh2pcISpKPX0usKRK70cM8cN4IEV1UmvheOaIcWujMcghOg7qZRYbM3e1fz0nesxtUkoHsLr8PLgmvv41RnzmDpomtXhiQKwpr6Jn7685agKx4Pv1PCri8cxdXjPKhy50svhdzu47YKx/OjlzUmv37xwqzS7CpHDpFJioUC0mZ++cz2BWKD1sVA8cc/7p+9cz/MX/R2/U8bMROYEInF++vKWpBWOn768heevnoLf1f038Fzq5djdHMHrVIRiHbMkaXYVIrclKiW7rQ4j7WyRlCypWYypk38hN7XJ0upFXDT6kixH1bXDZf7ag2HK+/e+zC9yS3cVjqWbD3BRD76Bd9XL4XUaWe3lSCRIyT8paXYVIrdJpcRCNU3VrZWR9kLxEDVNNVmOqGtr6pu44ZWjy/wPvVvDXRf1vMwvcktNQ7jLCkfNwXCPXqerXg5DJa5nSy4lSEKI3olEY9TU5l9PiWF1AD1RUVyJ15H8C6TX4aWiuCLLEXUuEIlzwyuJMv/hL/ahmEkgarY8Hrc4wsIRiMR5ecNeHnm3lpc37CUQ6fuffUWpB68z+T8Xr9Ogor+nR6/jdzv49cXj8buM1tfzOg38LiPxeBaraTPHDcBQya9lO0ESQvSOyvAvq9iiUjKzYhYPrrkv6TVDGcyonJ3liDrXbZl/ywEuOk7u02daOppS25o5bgAPvpO8ImcomDG+59/Ap5YV88LVU1tu74Uo72/NmTOHE6T248mGIusJkhBpE27CufFF1IGt6AFjiB13GXjyr0LtcsntG8v4XUX86ox5HaZvDGXwqzPm5VSTa+3Brsv8tT0s84u+S1dTalt+t4NfXTyuQ6JjKPjVxeP69Hq50ESaKwmSEEfpY2JhVL+H969XgTZR0QDa5ce9+GZCVzyFWXla5uPOomg0Rk2tNLpaZuqgaTx/0d9ZWr2ImqYaKoormFE5O6cSEoDy/p5u7tP3rMwv+i5dTantTR1ezPNXT2Hp5gPUHAxT0d/DjPEDep2Q5JpcSZCEgBQSi3AT3r9ehYo0tT6koomJTe9fryLwvTXgzp+KicvlpKJ8iNVhpJ1tkhIAv9PfqykbK5atzRw3gIfe7aLML/fpMy5dTanJ+F2OPiU0wr4CUZMVOwLUN0YZXuLizBF+/C5btOPZTwqJhXPji9DJlCbaxLlxAbFpX0t3xJaJRmPUSqXEPqxatuZ3O7jronEdpm8MBXdd1Psyv+i9w02pnVWretqUKsSGPSFuW7YHUyc23Xocisc+OsDN5w7m+MEynZRuqSQW6sDW1gSmw7VoAHWgKk1R5gaXy0m5VErswepla1OHF/Pct6awtM2ekhnj7FfmD0TiLP2s4cjnMLbUFr0G6WxKFYUrEDW5bdkegm12uYTjibdvW7aHP15Wjk8qJmmVSmKhB4xBu/xJ31+7/OgBo9MWZy6IRmPU1kmlxBZyYdma3+Ww9ZTN2vomfvZaFabWhGIar1Px8D/q+OWFo5mS47tW0t2UKgrTih2BLnuTVuwIcN7Y3P63YDepJBax4y7Dvfjm5BeVQey4S9MVZk6QSomN2G3ZWq4JROL87LWqdtMrGtD87LUqnv3G8fhy/Bt7vjaliuypb4y2VkbaC8c19Y3RLEeU/1JKLDzFhK54qkOTLMogdMVTedXkCod7SvZYHUba5WVScnjZWrLEJNeWreWipZ81YOrkX4xNrVn6WQNfmDgwy1H1njSlilQML3HhcaikiYnHoRheIicpp12KiYVZeRqB763BuXEB6kAVesDoRCKTZwkJgMvlkkqJXdhp2VouSuxa6exMFE3twUiWIxIi+84c4eexjw4kvWaoxHWRfiknFu7ivJqy6Uw0GpXpG7uw07K1XJTYtZL89FivU1He321BVEJkl99lcPO5gztM3xgKbj53sDS5ZlKBJBapkEqJzdhl2VoumjG2lIf/UQd0TEoMpZgxtjTrMQlhheMHe/njZeUd9pRIQiKsFo1GqZPpG3vp7bI1keB3O/jlhaM7TN8YSvHLC0fnfJOrEOnkcxkyZSNyjsvlorxMKiWiQEwZXsyz3zi+ZU9JhPL+bmaMLZWERAghckA0GqW2XiolooD4XA5bTNkIIUShcbmlUiKEEEKIHBCNRKmtkz0lQgghssDOBwGqaDMl217D2biDWMkIGkddiM7wYaiFJlEpGWx1GGknSYkQQuQYOx8E6N39EWVLrgVMjFgQ0+lj0Mq7qZv5MKEhJ1odXt6IRmLU1e21Ooy0s21S0hyO8caGPezYH2TEMT7OP34wRR7bfjpCCAHY+yBAFW2mbMm1GLHm1seMWBCAsiXXUnX50sSGVpEyl9tJmVRKcsPHOw7yvWfWorUmGDXxuQz+783PuP/KKZwwor/V4QkhRJ/Z+SDAkm2vAckPQwWT4u2v0Tju8myGlLcSlZL86ynJzXS7C83hGN97Zi2BSJxgy4FxwahJIBJvfVwIIezKzgcBOht3tFZG2jNiQVyNO7IcUR5TGf5lEdtVSt7YsAfdyWFxWmveWL+by04YnuWohBAiPex8EGCsZASm05c0MTGdPqIlIyyIKj+5XE7KhsvtG8vt2B9srZC0F4ya7DiQPEsXhSsQibNkywFqGsJUlHqYOW4AfrcsgRO5yc4HATaOupBBK+/u5KpB08gLsxpPPotGY9TvzL/bN7ZLSkYc48PnMpImJj6XwYgBPguiErlqTX0TP315C6aGUMzE6zR48J0afnXxOKYOz8378qKw2fkgQO0qom7mwx2mb8CgbubD0uSaRm6plOSG848fzP+9+VnSa0opzp+UfxvuRN8EInF++vIWAm0S2FAs8fZPX97C81dPwS9r80UOsvNBgKEhJ1J1+VKKt7+Gq3EH0ZIRNI28UBKSNItEY9TVS6XEckUeJ/dfOaXD9I1SivuvnCJledFqyZYDXU4xLN18gIuOH5TdoIToITsfBKhdfpmyyTCplOSQE0b0540ffJ431u9mx4EgIwb4OH/SEElIxFFqGsKtlZH2QjGTmoPhLEckhBDpIZWSHON3O2TKRnSpotSD12kkTUy8ToOK/h4LohJCiNRJpUQIm5k5bgAPvlOT9JqhYMb4AVmOSAgh0iNRKSnQNfNKqW1AIxAHYlrrkzMZlBDp4Hc7+NXF4zpM3xgKfnXxOGlyFULYllRKYIbWOv/SMpHXpg4v5vmrp7B08wFqDoap6O9hxvgBkpAIIWwtsack/74ly+0bkff8LodM2Qgh8orL5WT48Pz7utbTpEQDbyilNPA7rfX89k9QSn0b+DbA4MGD+fif/0xflBaIRsJs/nS91WGkJBKNEY9F2bJ5o9WhpCQWi7Jp41qrw0hJJBJF6zgbN6yxOpSUHP48qqo2Wx1KijT19bVWB5GSaDQGmHz2mb3/fUfCId5/912rw7CdaDTGzgKulJyhta5TSg0B3lRKbdJaL2/7hJZEZT7AhAkT9EmnnprmULPrvRXvcNykqVaHkZLaut0c3F/P+GMnWR1KStavW8WYMcdaHUZKtm+vJR5vZtSocVaHkpLq6nri8Wbb///YuHEtlZWjrA4jJTU1u4AwY8ZMsDqUlHy29RNOPu00q8OwHZfLyfBhBVop0VrXtfx3t1Lqb8ApwPKu30sIIbqmos2UbH+9dfNn48gL0K4iq8MSIucVbE+JUqoIMLTWjS1vnw/clvHIhBB5zbv7I8qXXgfo1jNSBq+8m9oZDxIacqLV4QmR03KhUqKUmgPcBziA32ut70rynHOBewEXsFdrfU5Xr9mTSslQ4G9KqcPPf0prvbA3gQshRFsq2kz50uswYoHWxw4fd1++9Dq2zl0sZ6UI0QWrKyVKKQfwIHAeUAN8oJR6SWu9oc1zSoGHgDla6x0tLSBd6jYp0VpvBab1NXAhhGivZPvrJPrnk9GUbF/IoXFzsxmSELaSA5WSU4AtLTkCSqlngEuBDW2ecxXwgtZ6ByRaQLp7URkJFkJknatxR2tlpD0jFsTVWJ3liISwl2g0Rv2ujFZKBimlPmzz+/ntJm/Lgbb/UGuA9hMuxwIupdQyoAS4T2v9/7r6oJKUCCGyLloyAtPpS5qYmE4f0ZJKC6ISwj6yUCnZ2832dpXksfblTydwEjAL8AH/UEq9p7X+tLMXlaRECJF1jSMvYPDKuzu5qmgcOSer8QhhN4mekn1WhlADtP3poQKoS/KcvVrrZqBZKbWcRDtIp0mJke4ohRCiO9pVRO2MBzGdfkynD0hUSEynn9oZD0qTa5aoaDP9tjzPwI9/Q78tz6OizVaHJHpKZfhX9z4AxiulRiul3MCVwEvtnrMAOEsp5VRK+Unc3uly259USoQQlggNOZGtcxdTsn0hrsZqoiWVNI6cIwlJlhwZyTbbjGTfIyPZNuFyOhk+1LpGV611TCn1XeB1EiPBj2mt1yulrmm5/ojWeqNSaiGwBjBJjA2v6+p1JSkRQlhGu/wyZWOBIyPZRyojMpJtL9FYjJ27LL19g9b6VeDVdo890u73dwOd3avtQJISIYQoMCXbF5L4wTUZU0aybSBRKRlodRhpJ0mJEEIUmO5HsndkOSLRW9FYjJ27ra2UZIIkJUIIUWC6H8keYUFUojdcTifDpFIihBDC7hpHzmHwyns6uWrISLYN5EJPSSZIUiKEEAXm8Eh2++kbMGQk2yakUiKEECJvHD2SvYNoyQgZybYRqZRkQSDazOKaRdQ01lBRUsGsitn4XUVWhyWEEHlJRrLtSyolGbZm7yp+vOJ6TG0SiofwOrw8sPo+7j5zHlMHTbc6PCGEECJnRGNxdu7eb3UYaZcTSUkg2syPV1xPIBZofSwUDwHw4xXX87eLX8bvlJKiEEIIAeByOhg2RColGbG4ZhGmTr7Ix9QmS6oXcfHoS7IclRBCiIITbsK1aQHGga2YA8YQnXgpeIqtjqqDaCzOzj3SU5IRNY01rZWR9kLxEDVN1VmOSAghRE7LQPLgqHkf/7NfA22iogG0y493yS0Evvwk8YpT0xR4erhcUinJmIqSCrwOb9LExOvwUlFcmeS9hBBCFKKMJA/hJvzPfg0VaWp9SEUTLQX+Z79G43WrwZ07gxfRaJxdstE1vQ5P21QdrOr09o2hDGZWzs5yZEIIIXJShpIH16YF0Mn3IbSJa+MCotOu6lPImSCVkjRrP23jNtwAuA03ETOC1+HFUAZ3nzlPmlxFzghE4iyrOkTdoTBl/TycO7offrfD6rCEKBiZSh6MA1tbk5v2VDSA0VDV69fMpGhUpm/SJtm0TcSMtL79lfFfZVS/0cysnC0JicgZ63Y2c+MbO9BaE4ppvE7FI+/v5M7zRzB5WO6UdYXIZ5lKHswBY9Auf9LX1i4/ZunoPr1upiQqJcdYHUbaWZKUdDVtYyiDUf1Gy7SNyCmBSJwb39hBMHrk720opgHNjW/s4C9fPRafSyomQmRappKH6MRL8S65JflFZRA97tI+vW6mxKJxdkmlJD1k2kbYzbKqQ2itk17TWrNs6yEunDAgy1EJUXgyljx4igl8+ckODbQog8CXn8ypJlcAp8vBUKmUpIdM2wi7qTsUbqmMdBSKaeoORZJeE0KkWQaTh3jFqTRetxrXxgUYDVWYpaMTSU6OJSTQUinZc8DqMNLOkqRkVsVsHlh9X9JrMm0jclFZPw9ep0qamHidirJ+bguiyj8q2kzJ9tfbHBB3AVrOvxLtZDR5cBfl1JRNZ5wup1RK0sXvKuLuM+d1OOtGpm1Erjp3dD8eeX8n0DEpUUpx7ph+2Q8qz3h3f0T50usAjRELYjp9DF55N7UzHiQ05ESrwxO5xibJQ6bEYjF27ZGekrSZOmg6f7v4ZZZUL6KmqZqK4kqZthE5y+92cOf5IzpM3yiluPP8EdLkmiIVbaZ86XUYbSbyjFgQgPKl17F17uJEiV4I0UpZHUAGWLo8ze/0y5SNsI3Jw4r4y1ePZdnWQ9QdilDWz825Y/pJQpIGJdtfJ1kVKkFTsn0hh8bNzWZIQuQ0p9PJ0MFy+0aIguZzOWTKJgNcjTtaKyPtGbEgrkaZyBOiLbl9I4SwlUA0zltVh6g7FKWsn4tzRvfDn6NVnWjJCEynL2liYjp9REtkIk+ItqRSIkSaBSJxln52gJqDYSr6e5gxdoCsbE+TdbsC3PRm9VH9L7/7527uOK+SyUNzrzejceQFDF55dydXFY0j52Q1HiFynVRKhEijtfVN3PDqZ5gaQjETr9PgoXdruesLY5kyPLXjxwtdIBrnpjerk26fvenNap7+ynh8LsO6AJPQriJqZzzYYfoGFLUzHpQmVyHakUpJGh0+HbimsYaKkgpmVczGL7sICkYgEueGVz8jcNQ3zcTbN7z6Gc99c7I0j6bgrW62z75VdYg5x5ZmN6geCA05ka1zF1OyfSGuxmqiJZU0jpwjCYlIXbgJ16YFGAe2Yg4YQ3TipeCx9w8/sViMXXtleVrK2p8O7HV4eWD1fdx95jymDpqe7XCEBZZ+dgCzk0ELU8OSLQ1cdFz+HcmdLXWHorbdPqtdfpmyEWnlqHm/w/ZX75JbCHz5SeIVp1odXp8lKiX513Sf1aQk2enAh1fN/3jF9fzt4pdlT0kBqDkYbq2MtBeKmdQdDGc5ovxS1s8l22eFAAg34X/2a6hIU+tDhw/y8z/7NRqvW52TK+R7IhaLsXtvg9VhpF1Wk5KuTgc2tcmS6kW22VsSiAVYvnMpdYFayvzlnD1shiRU7QRiAVbseYu6YB1lvjLOHHwOfqefiv4evE4jaWLidRqU9fdYEG3+OGd0P373z910tn32nNGyfVYUBtemBdDJ9xy0iWvjAttuhXU6nQwZJJWSlGTrdOBM96ysO7CWmz/+WWKywQzhNbzM//Rhbjvhl0weMCVtH8fONhxcx61rb8LUmrAZwmN4+cNnv+OWKXcwY+xxPPRubdL3MxTMHFea3WDzjN/l4I7zKjtM3yiluOO8ypxrchUiU4wDW1srI+2paACjoSrLEaVPolIiPSUpycbpwJnuWQnEAtz88c8Ixo/sUwiZic/n5o9/xpNnP4vP6Uv549hZIBbg1rU3HfVnFG75M7p17U08/vmnuesLYztM3xgK7vrCWGlyTYPJQ/08/ZXxLXtKEttnzxndTxISUVDMAWPQLn/SxES7/Jiloy2IKj2kUpIGmT4dOBs9K8t3Lu1ysmH5rqVcUP6FlD6G3S2pX0o03tltOs3bu9/i/OFzeO6bk1mypYG6g2HK+nuYOa5UEpI08rmMnJyyEaJXUpiciU68FO+SW5JfVEbiZGGbisVi7JFKSWoyfTpwNnpW6gK1rZWR9kJmiLpAXUqvb3dr65t45MM1GMckb1YNmyHqg4k/I5/LIVM2QohOpTw54ykm8OUnO7wGyiDw5Sdt2+QK4JJKSXpk8nTgbPSslPnL8RrepImJ1/BS5i9L+WPY1eH9I9GiY/CYbpTRcfTUY3gZ7ivcPyMhRA+laXImXnEqjdetxrVxAUZDFWbp6ESFxMYJCUA0FmP3PqmUpEWmTgfORs/K2cNmMP/Th5NeU0px9tAZKX8Muzq8fyR6aBqeIa8kfY6hFGcNOSfLkQkh7CatkzPuIttO2XRGKiU2kOmeFUgkVLed8MsO0zdKKW474ZcF3eR6ZP+Ih2D1v+Kr/CMojTIiaNONyzC4Zcod+ByF+2ckhOiZfJ6cSYeoTN/kvkz3rBw2ecAUnjz7WZbvWkpdoI4yfxlnD51R0AkJcNT+kXhwFE2bb8TVbw3KvRdHfDD/PukLHN+/3OowhRA2kM+TM+kglRKbyGTPSls+p6/gp2zamzF2wNH7R7SH6MHPAeB3GVxw7DCLIhNC2E0+T86kQ8H3lCilHMCHQK3W+uLMhZS6TPWsiK753Q7ZPyKESI88npxJB5fTyZCBhV0p+S9gIyA7qkWnpgwvlv0jQoi0yNfJmXSIxuLs3tdgdRhp16OkRClVAVwE/AK4PqMRCduT/SNCiLTJw8mZtFCJic9809NKyb3AT4CSzp6glPo28G2AwYMH88F776UcnJXC4RBr13xsdRgpCYUiGEqzYf1qq0NJSTQaYePGdVaHkZJAIIjP52bTpvVWh5KSUCiM1+uy/ecRj8f47LPNVoeRklAogsfj4pNP7P7/Isr7775rdRi243I4GDyw1Oow0q7bpEQpdTGwW2u9Uil1bmfP01rPB+YDTJgwQZ96+unpitES/3h7BVOmnWB1GCmp37mXfbtrmDhxstWhpGT16pWMG3us1WGkZPPmz3C5oKJihNWhpKS2djdKRRg7dqLVoaRk48a1tv93UVu3h0j4AOPGH2d1KCn59NMNnPL5z1sdhu3E4nH2FujtmzOAS5RSXwC8QD+l1J+11l/PbGhCCCGESMZZqJUSrfXPgJ8BtFRKfiQJiRDCKiraTMm2hTgbtxMrGUnjqDlolzQ+isISi8fZU6CVEiGEyAne3R9RtuQ7gIkRC2I6fQxaeTd1Mx8iNOREq8MTuaD1VOEqzAGje3WqcErvm2UFWylpS2u9DFiWkUiEEKILKtpM2ZLvYMSaWx8zYkEAypZ8h6rLlyT2WIiC5ah5n6Lnvn7UXhPf0v+l+Ut/7vZU4VTe1wqxeJw9+xssjUEpNQe4D3AAv9da39Xu+rnAAuDwmQAvaK1v6+o1pVIiOhWIBXh797LWVfpnDTk37Ztxheipkm0LgU4OaMOkePtCGsfNzWZIIpeEmyh67utJTxUueu7rHPrOqs73m6TyvhZxOhwMPqbUso/fslD1QeA8oAb4QCn1ktZ6Q7unvt2bhauSlIik1jes45bVNx516OCjmx/h1ml3MqnU3lMLwp6cjdtbKyPtGbEgrsYdWY4ov6hoM8VVr7X26jSNvtBWvTrdniq8aQHRqcn3nXT5vtEQ3jd/Rmj2nTl1KycWj7PnwEErQzgF2KK13gqglHoGuBRon5T0iiQlooNALMAtq28kGD/yDSBkhgC4ZfWN/OmMvxT84YMi+2IlIzGdvqSJien0ES2x97i1lTy7VjJ80bW07dUZ+MGvqZ/9MOGhJ1kdXo8YB6q6PlX4QOenCnf5vjqGe+PfcG9+Ladu5TidGa+UDFJKfdjm9/NbVn8cVg5Ut/l9DZDsD+fzSqnVQB2JQZkuF+tIUiI6eHv3MrTWSa9prVm+exkXlF2Y5ahEPunLBE3jqDkMWnl3J1cNmkbOSX+gBUBFmxm+6NqkvTrDF13L9iuW2qJiYg4Y3fWpwgM6P1W4q/cFUGYMIk05dSsnFst4T8lerfXJXVxPtk62/TeOj4CRWuumlrUiLwLju/qgkpSIDuoCda2VkfZCZoj6QF2WIxKpCkRN3t7eTH1jlOElLs4aWYTfZVgSS18naLSriLqZD3V4XzCom/mQNLn2UXHVa3TZq7NtIY3jL89mSH0SnXgpvqX/m/yiMhKTNH1537a6uQ2UTVmolHSnBqhs8/sKEtWQVlrrQ23eflUp9ZBSapDWem9nL2r7pKQ52szi6jepaayhoqSCWZXnUWSDrD6XlfnL8BrepImJ1/Ay3F9mQVSir9bvDnHr0p2YQDim8TgVf1i5j1tmDGPSEG9WY0l1giY05ESqLl9C8faFuBp3EC0ZQdPIOZKQpKC7Xh3nIZv06niKaf7SnztM0KAMmr/0566rG23fNxpC6VjSp3V3GyibYrE4e62dvvkAGK+UGg3UAlcCR2VrSqlhwC6ttVZKnQIYwL6uXtTWScnqPav40ds/wNSaUDyI1+Hj/lX3cs9Z9zJt8HSrw7Ots4acy6ObH0l6TSnF2UPOzW5Aos8CUZNbl+4kGDtSVQ23vH3r0p08MXcEvixWTNIxQaNdfpmySaPuenVi/ezTqxOvOJVD31nVcddID263HH5f75s/w73xb4lbNu10dxsom6yulGitY0qp7wKvkxgJfkxrvV4pdU3L9UeALwHXKqViQBC4UnfWG9DCtklJc7SZH739AwKxI/cAQy2NmT96+wcs+OKr+OWnpz7xO/3cOu3ODtM3SilunXanNLnayNvbm7tIARLXzx/X6TmbaScTNLmnafSFDPzg151cNWgaZbNeHXdR32+vuIsIzb4T9+bXoM14cKtubgNlUywWZ6+10zdorV8FXm332CNt3n4AeKA3r2nbpGRx9ZuYnSRcptYsrn6TL47Jjb88djSpdDJ/OuMvLN+9jPpAHcP9ZZw95FxJSGymvjHaWhlpLxzT1DdGsxqPTNDkHu0qon72wx2mb8CgfvbDtmhyTatUbgNlkdPpYNCA/laHkXa2TUpqGmtaKyPtheJBapqqk14TPedz+mTKxuaGl7jwOFXSxMTjVAwvcWU1HpmgyU3hoSex/YqlFG9biPPQDmL9RtBUwGcKpXIbKFtisTh7G6ytlGSCbZOSipIKvA5f0sTE6/BRUVyZ5L2EKCxnjSziDyuT95UZLdezqdAnaFS0mZI2TbqNI3PnG792FdliyiZrUrkNlAVSKckxsyrP4/5V9ya9ZijFrMrzshuQEDnI7zK4ZcawDtM3BnDLjGFZbXI9rFAnaLy7P6J86XW0TcYGr7yH2hkPymGCotdyoackE2yblBS5irjnrHs7TN8YSnHPWfdKk6sQLSYN8fLE3BEd9pRYkZAcVmgTNCraTPnS65KOQpcvvY6tcxfnfVIm0ksqJTlo2uDpLPjiq4k9JU3VVBRXMqvyPElIhGjH5zKyOmUjjlayvetR6JLtCzlUQEmaSF2iUnKo+yfajK2TEgC/y9/rKRtZuCaEyCZX4w4Zhc6WcFPHBtUcOkhPdM32SUlvycI1IURnMtWIGi0ZIaPQWeCoeb/DKK9v6f/m1EF66SK3b/KALFwTQnQmk42ojSPnMHjlPZ1cNWiUUejUhRMH5qk2S88OH7CXSwfppUssHmefjATbWy4sXAvEArxVv5S6QA1l/grOGT4Dv1MSISGslOlGVO0qonbGgx2SHjConfGgNLmmgWvTAtCd9O3k0EF66eJ0SKXE9qxeuLbuwFpu+vAGNCaheAivw8vvNj3EHSffxeQBUzL6sYUQnctGI2poyIlUffElBq+6F9ehbUT7jWLP9B9g+gen9LoiwThQ1VoZaS+XDtJLl1jcZG+DNLrampUL1wKxADd9eAPBeNtbR4lTeG/68AaenvGcrHAXwiLZaERtf3vIc3ALxdVLZE9JmpgDRqNd/qSJSS4dpJcuTofBoNJ+VoeRdgWVlFi5cO2t+qXoTn4S05i8tXMJcyouytjHz5RALMDbu5dRF6ijzF/GWUPOldtRwnYy3Ygqe0oyLzrxUnxL/zf5xRw6SC9dYnGTfVIpsTcrF67VBWpaKyPtheIh6prrMvaxeyIQibNkywFqGkJUlHqZOW4Afrejy/dZ37Cuw0nCj25+hFun3cmk0slZilyI1GW6EVX2lGSBTQ7SSxenw2CgVErsz6qFa2X+CrwOb9LExOvwUlZUltGP35U1dU385OXNmBpCMROv0+CBFdX8+uLxTC1LPt8fiAW4ZfWNBNvcCguZic/tltU38qcz/iK3o0RWqGgzJdsW4mzcTqxkJI19OEgu042osqckO+xwkF66SKUkj/Rl4Vqqzhk+g99teijpNYXBOcNmZjWewwKROD95eTOB6JGf4kKxxNs/eXkzL1w9NWnF5O3dy9CdTDJprVm+e5mcMCwyzrv7ow6H+w1aeTd1Mx/qdZ9GaMiJbJ27OMmektR/YJE9JVmU4wfppYtUSvKAlZtc/U4/d5x8V4fpG4XBHSffZVlVYcmWA5jJcwtMnbh+8fGDOlyrC9S1VkbaC5kh6gPW3o4S+U9Fmylb8p2kfRplS75D1eVLep1QaJc/I7dRZE+JSLdY3GTfwUarw0i7gklKcmGT6+QBU3h6xnO8tXMJdc11lBWVcc6wmZbe5qhpCLVWRtoLxUxqDyZPPMr8ZXgNb9LExGt4Ge637naUKAwl27ru0yjevjBnDv2TPSVZVgCr5p0Oh1RK7CqXNrn6nL6cmrKpKPXidRpJExOv06C8vzfp+5015Fwe3fxI0mtKKc4ecm46wxSiA2fjdlv1aWTy9pA4olBWzSc2ukpPiS3lwibXXDVz3AAeWJF8aZyhEteT8Tv93Drtzg7TN0opbp12pzS5ioyLlYy0XZ9Gpm4PiRYFtGpeKiU2ZvUm11zmdzv49cXjO0zfGAp+ffH4LseCJ5VO5k9n/IXlu5dRH6hjuL+Ms4ecKwmJyIrGUXMYtPLuTq4aNEmfRsEppFXz8Xic/QelUmIL7Rtah/iHWLbJ1Q6mlhXzwtVTWbLlALUHQ5T379meEkjcjpIpm8wKRE3e3t5MfWOU4SUuzhpZhN9lWB2W5bSriLqZD3WYvgGDupkPyW2RAlRIq+YdDgcD+0ulJOcla2hVgCb57ZtMb3K1C7/bkXTKRlhr/e4Qty7diQmEYxqPU/GHlfu4ZcYwJg1J3u9TSEJDTqTq8iUUt+nTaJI+jYJVSKvm4/E4+6RSktu6amj1ODz4nP5E/0MWN7mK/BaImiyvaqSuMUJZiZuzR5ekrYoRiJrcunQnwdiRhDrc8vatS3fyxNwR+KRignb5c2bKRlirkFbNS6XEBrpqaFUYXDvlOtwOd1Y3udpJts6xyZfzctbtCnLzoho0EIppvE7F/A92c9vsCiYPTb2v5u3tzV0MvCaunz+uJOWPI0TeKKBV84lKiewpyWndNbTuDu7i2qnfzXJU9pCtc2zy5bycQNTk5kU1R1UxQi1v37yohievGJtyFaO+MdpaGWkvHNPUN0ZTen0h8lGhrJpPVEry74eSvEpKKkoqpKG1D7J1jk0+nZezvKqxky4l0MDybY1cML5/Sh9jeIkLj1MlTUw8TsXwEldKry9E3iqAVfPxeJz9h/KvUpJXN6RnVZ6HoVTSa9LQ2rmenGNjp4+TDXWNkdbKSHuhmKbuUCTlj3HWyKJO/4EaLdeFEIVMZfCXNfKqUlLkKuKes+7tMH0jDa1dy9Y5Nvl0Xk5ZiRuvUyVNTLxORVk/d8ofw+8yuGXGsA7TNwZwy4xh0uQqRAFzOBwcI7dvct+0wdNZ8MVXE3tKpKG1R7J1jk0+nZdz9ugS5n+wO+k1BZw9Kj1fLCYN8fLE3BEd9pRIQiJEYYub+Xn7Ju+SEgC/y2+LtfGBWIC36pdSF6ihzF/BOcNnWDKFkq1zbPLpvBy/y+C22RUdpm8UcNvsirQmDT6XIVM2QoijOAwHx/TLv68LeZmU2MG6A2u56cMb0JiE4iG8Di+/2/QQd5x8F5MHTMlqLNk6xybfzsuZPNTHk1eMZfm2RuoORSjr5+bsUSVSxRBCZFzcjHNAKiUiHQKxADd9eAPBeNslb4lbGjd9eANPz3gu69+gs3WOTb6dl+NzGSlP2QghRG85pVIi0uWt+qXoTtZiaUze2rmEORUXZTmq7J1jI+flCCFEamJmnP2NUikRaVAXqGmtjLQXioeoa7bPFIoQQojsczqkUiLSpMxfgdfhTZqYeB1eyorsM4UihBAi+2J5ujxNkhILnDN8Br/b9FDSawqDc4bNzHJEQggh7KRgKyVKKS+wHPC0PP85rfUtmQ4sn/mdfu44+a4O0zcKgztOvsu2TZ9CCCGyI1EpabI6jLTrSaUkDMzUWjcppVzACqXUa1rr9zIcW16bPGAKT894jrd2LqGuuY6yojLOGTZTEhIhhBDdKthKiU4cVnI4HXO1/OrsLDLRCz6nz5IpGyGEEPYWi5scaCzMSglKKQewEhgHPKi1fr+r52ugMdjxpF47icZi7Nyz3+owUvLZ1lqKPFHqdu6xOpSUhIJhqqqqrQ4jJR9++DEnnHAcn3zyidWhpOSTT7Yzdeo4qqp2WB1KSoLBENXV9VaHkZJPPtlGZWU/qqt3Wh1KSiLRKAcDge6fKI7idBgMKCm2Ooy061FSorWOA9OVUqXA35RSk7XW69o+Ryn1beDbAIMHD2bTqlVpDjW7zFiUffX2/sJb5IkRj8U4dMDeX7TcbgeGEbU6jJSceOLxGIbC63VZHUpKJk0ajdYm8Xiz1aGkxONxEo0esjqMlFRUlGCaMUJBe//whBln85o1VkdhO7G4SUNTgVZKDtNaNyillgFzgHXtrs0H5gNMmDBBn3jqqemK0RLvr3iHiZOmWh1GSurq9nBwfx3HTphkdSgpWbvmY0aOHGN1GCnZuHEjHo+LYcOGWx1KSrZvr8Htdtn+/8fmzZ8wZswEq8NISU3NTiKRg4wdO9HqUFKyectGpn/uc1aHYTsFWylRSg0Goi0JiQ+YDfwq45EJIUSBUNFmSrYvxNW4g2jJCBpHzkG7iqwOS+SwQu4pGQ480dJXYgB/1Vq/nNmwhBCiMHh3f0T50usAEyMWxHT6GLzyHmpnPEhoyIlWhydyVMFWSrTWa4ATshCLEEIUFBVtpnzpdRixIz06RiwxJFC+9Dq2zl2MdvmtCk/ksEKulAghhMiAku0LoZPDOcGkZPtCDo2bm82QhE3kQqVEKTUHuA9wAL/XWt/VyfM+B7wHfEVr/VxXrylJiRBCWMTVuKO1MtKeEQviarT3BKDIHKsrJS0tHQ8C5wE1wAdKqZe01huSPO9XwOs9eV1JSoQQwiLRkhGYTl/SxMR0+oiWjLAgKmEHOVApOQXYorXeCqCUega4FNjQ7nnfA54HejRiZaQzQiGEED3XOHIOnX8ZNlquC9EJpTL3q3vlQNutljUtj7UJT5UD/wI80tNPKecrJYFoM0tqFlHTWENFSQUzK2bjl1E5IQqCEW2m3443cTVVEy2u5NCI8zDz6N+/dhVRO+PBDtM3YFA740Fpck1VpAnPppcwGrZhlo4iPPEScOfHxErMNDmQ2eVpg5RSH7b5/fyWfWSHJctc2h9Bcy/wU611XPUs0cntpGTN3lX8ZMX1mPrISboPrL6PX585j6mDplsdnhAig3x7VlG5/PsorTHiQUyHjyGr5lF99m8JDp5udXhpExpyIlvnLk6yp0QSklQ4a/5JyQvfQKFR0QDa5ce/7FYa5/6JWMUp3b9Ajic0TsNgQHFG49mrtT65i+s1QGWb31cAde2eczLwTEtCMgj4glIqprV+sbMXzdmkJBBt5icrricQO3ImQigeAuAnK67nhYtfxu+Uf7SidwJRk+VVjdQ1RigrcXP26BL8LrmLmWuMaDOVy7+Po82/fyOe6LuoXP59Nl+yMK++aWuXX6Zs0inSRMkL38CIHhm1VtEACih54RscuOYjcHdecUs5ocmCuGnS0GTpcQ8fAOOVUqOBWuBK4Kq2T9Bajz78tlLqceDlrhISyOGkZEnNIkydfFTO1CZLqhdx8ehLshyVsLN1u4LcvKgGDYRiGq9TMf+D3dw2u4LJQ31Whyfa6LfjTZROfhi50pp+1W9wcMxl2Q1K2IZn00uoTg6zV2g8n7xEeMpXk79ziglNtjgMgwHF1sWhtY4ppb5LYqrGATymtV6vlLqm5XqP+0jaytmkpKaxprUy0l4oHqK2yd6nxorsCkRNbl5UQzB25AtVqOXtmxfV8OQVY/FJxSRnuJqqWysj7RnxIO5G+fcvOmc0bENFk588rKIBjIZtnb5vSglNFuVApQSt9avAq+0eS5qMaK2v7slr5mxSUlFSgdfhTZqYeB1eyosrk7yXEMktr2rs5MtMojNr+bZGLhjfP5shiS5EiysxHb6kiYnp8BEpkX//2aSizZRsW4izcTuxkpE0jsrts3nM0lFolz9pYqJdfszSUZ2+byoJTTY5DINSCyslmZKzScnMitk8sPq+pNcMZTCzcnaWIxJ2VtcYaa2MtBeKaeoORbIcUd8EoyYrdgSpb4oxvNjJmSN8eVnhOTTiPIasmpf0mlaKQ5XnZzmiwuXd/RFlS75D2+mgQSvvpm7mQzl7Nk944iX4l93ayXiIIjyh81v/qSQ02RQ3TRqara2UZELOJiV+VxG/PnNeh+kbQxn8+sx50uQqeqWsxI3XqZImJl6noqyf24KoemfDnjB3LN+HqTXhOHgc8MdVB7np7IEcP9hjdXhpZbqKqD77tx2mb7RSVJ/927xqcs1lKtpM2ZLvJD2bp2zJd6i6fElu/r9wF9M4908dmlU1isa5f+qyJySVhCabpFJigamDpvPCxS+zpHoRtU3VlBdXMrNytiQkotfOHl3C/A92J72mgLNHlWQ3oF4KRk3uWL7vqJ6YcBxAc8fyffzhkmF5VzEJDp7O5ksW0q/6DdyN1URKKjlUeX5ufhPMUyXbuj6bp3j7QhpzdGooVnEKB675CM8nbcZ6J1zSfZNqCglNNuVCT0km5HRSAuB3+mXKRqTM7zK4bXZFh+kbBdw2uyLnv6Gv2BHE7GQaxdSad6qDzB6TG18s00m7/DJlYyFn43Z7n83jLupTU2qfE5oskkqJjclW2N4JxAK8vfst6oN1DPeVcdaQc/KiOjV5qI8nrxjL8m2N1B2KUNbPzdmjSnI+IQGob4q1VEY6CsehvjGW3YBEQYiVjCzcs3n6mNBkS6KnJHlDrp3lfVIiW2F7Z33DOm5de1Oib8EM4TG8/OGz33HLlDuYVDrZ6vBS5nMZtpuyCUZNDgTjOBTEkxRLPA4YXpL3/5SFBRpHzWHQyrs7uWrQJGfzWMZhOCgtyr8frvP6K5lshe2dQCzArWtvIthmDDNsJv68bl17E098/ml8Tlkylk2Hm1vjpk6akAAYSnFGpfx/sZKKNidZE2//bxjaVUTdzIc6TN+AQd3Mh6S/x0JxMy7TN3YjW2F75+3db3XZt/D2nrc4f7j8ZJQtyZpb2/I4EgnJTWcPtMUtqHzl3f1RhwP1Bq+8h9oZD+bsyGxvhIacSNXlSyhuk3Q1ydk8lpNKiQ3JVtjeqQ/WtVZG2gubIeoD7c9aEpnUVXOrAZxe6eM/TyyVhMRCKtpM+dLrko7Mli+9jq1zF+fFN2/t8ufslE2hiptxDgakUmIrshW2d4b7yvAY3qSJicfwMtxfZkFUhaur5lYTGOB15HxCYkSb6bfjTVxN1USLKzk04jzMPLitcVjJ9q5HZku2L5SD9kRGOBxSKbEd2QrbO2cNOYc/fPa7pNcMpThr8Dk9ep18nd7JtuHFTjwOkiYmdmhu9e1Z1WH52ZBV86g++7cEB0+3Ory0cDXusPfIbL6KNOHZ1Gacd+Il4C62Oqq0isfjMn1jN51thTW1yenDz2JJ9ZsyHtyG3+nnlil3dJi+MZTilil39KjJNRemd4LxIO/uW0F9qJ7h3uGcPvBMfA77NYKeOcLHH1cdhCSn9uR6c6sRbaZy+fdxtGkyP3yOTeXy77P5koV5cVsjWjKicEdmc5Sz5p8dFp/5l91K49w/Eas4xerw0iZRKbH/v6H28jopgaO3wn68eyVv1S5FoVhU/Tor6t6S8eB2JpVO5onPP83be96iPlDHcH8ZZw0+p0cJSS5M72xq3Midn9yBxiRshvEYHp7Y8Tg3TriJiSXHZfRjp5vPZXDT2QM7rJa3Q3Nrvx1vojrph1Fa06/6jbxYitY4cg6DV97TyVWDRhmZza5IEyUvfAMjeqTXQkUDKKDkhW9w4JqPcmoBWiri8TgHpVJiT36nn5kVs3hg9b1EzCMHr8l4cHI+p69PUzZWT+8E40Hu/OQOQmbbpCgMwJ2f3MH8E36P12YVk+MHe/jDJcN4pzpIfWOM4SVOzqjM/UP4XE3VSU/4hUTFxN2YH03m2lVE7YwHO0zfgEHtjAfzohpkJ55NL6E6OQ9cofF88lJOL0TrDYfDQX+plNiXjAdnntXTO+/uW4HupOlQY/Lu/neYOdh+fUQ+l2G7FfLR4kpMhy9pYmI6fERK8qfJPDTkRLbOXZxkT0n+fcPIdUbDtqSn+0KiYmI0bMtuQBkUj5scDCRP/O2sYJISGQ8+WiaaUa2e3qkP1bdWRtoLm2F2huoz+vHFEYdGnMeQVfOSXtNKcajy/CxHlFna5Zcpmxxglo5Cu/xJExPt8mOWjsp+UKJXCiYpkfHgIzLVjJqu6Z2+Gu4djsfwJE1MPIaHYd7hGf344gjTVUT12b/tMH2jlaL67N9KFUFkRHjiJfiX3YpKck2jEofq5QmHw6C/P//+HRVMUiLjwQmZbEZNx/ROKk4feCZP7Hg86TWFwenHnJHRjy+OFhw8nc2XLKRf9Ru4G6uJlFRyqPJ8SUhE5riLaZz7pw7TNxpF49w/5U2TKyQO5DsYlEZX2+psPNhQBr8+c17BNLlmuhk1lemdVPkcPm6ccFOH6RuFwY0TbrJdk2s+0C5/XkzZCPuIVZzCgWs+wvNJmz0lEy7Jq4QEwGFIpcT22o4H1zZVU15cyczK2QWTkEB2mlH7Or2TDhNLjmP+Cb/n3f3vsDNUzzDvcE4/5gxJSISt5OsBf1njLsqbKZvOxE2TQwGplNie3+kv6Ckbq5tRs8Hr8NlyykYIyP8D/kR6SKVE5AWrm1GFEJ0rlAP+ROripslBqZSkJhBtZknNImoaa6goqZAV7xawuhlViELX1a0ZOeBP9JRUSlK0Zu+qDk2msuLdGlY2owpRyLq7NSMH/GWZjQ/uS0zfyPK0PglEm/nJiusJtDmcq6cr3qW6khlWNqMKUSjaVkVi/qEMWvVbjLaHFLa7NSMH/GWP3Q/ucxgG/X3594NkVpKSvq54l+qKEMKuOlRFDBfKjHby7MStmUwe8KeizZRsW4izcTuxkpE0jirgiZ48OLjPNE0OhZJPUtpZVpKSvqx4T6W6IoQQVkrasNppQnLk1kymDvjz7v6IsiXfOeo1B628m7qZDxXkRE8+HNxnGAb9pFLSN31Z8S4H6Akh7KrrhtWO2t6aSfcBfyraTNmS7ySd6Clb8h2qLl9ScBM9+XBwn2maNEpPSd+cNvR07tX/l/RaZyve5QA9IYRdddWwmtzRt2bSecBfybauJ3qKty+kscAmevLh4D6HVEr65nBfSHtuw43TcHa64l0O0CscmTixWAgrddWwqgFtuDDMaFpuzXTH2bhdJnraT9mMmWn7g/vipskhqZT0TrK+kLaenPMsA70Dk16TA/QKQ6ZOLBbCSl01rGqHnz0n/ABXYGfKt2Z6IlYysqAnejqbsgmcdSP+t++07cF9Uinpg676Qgxl8I/6dzrtC5ED9PJfJk8sFsJK3TWsZrO5tHHUHAatvLuTqwZNKUz05Lwupmz8b9/JgX97G0/VYlse3CeVkj5ItS9EDtDLb5k+sVgIK6W7YbWvtKuIupkPdZi+AYO6mQ/ldZNrt1M2VYtzfsqmM1Ip6YN09IUU+gF6+SwbJxYLYaV0NqymIjTkRKouX0JxmwSpyYIEKdvyYcqmM3GZvuk96QsRXSmEE4uFyBXa5ZcpmzbsMmXTGYdhUJKHlRIjky9+uC/E7/TjdXiBRIXE7/RLX4jgrCHnYKhk/e9yYrEQInXhiZegk87Y2GfKpjNx06QpGMzYL6t0WylRSlUC/w8YRmLYfb7WOnn5IwnpCxGdkROLhRAZ5S6mce6fOkzf2GnKpkud/FBnZz25fRMD/ltr/ZFSqgRYqZR6U2u9oacfRPpCRGfkxGIhRCbFKk7hwDUf4fnkJVtO2XQmX2/fdJuUaK3rgfqWtxuVUhuBcqDHSYkQXZETi4UQGeUusu2UTWfipkljoR/Ip5QaBZwAvJ/k2reBbwMMHjyYD997Lx3xWSYcCrF29UdWh5GSUCiCw4D161ZbHUpKYrEomzdvsjqMlASDzRiGj6qqrVaHkpJAIAQU8ckn9v6ZRGuTjRvXWh1GSkKhMB6P0/afR9yM2f77hRUchkGJ12t1GGnX46REKVUMPA/8QGt9qP11rfV8YD7AhAkT9Kmnn562IK3w7ttvM2nSNKvDSElN7W4aG3YyfvzxVoeSknXrVnHssROtDiMl69atw+12MXToUKtDScmmTZ/gdrsZNmyY1aGkZMeOHYwfP8HqMFJSXV2P1iHGjDnW6lBSsnnLJk44+RSrw7CduGnSVKiVEqWUi0RC8qTW+oXMhiSEEEKIrhRspUQppYA/ABu11vP6+oGao80srn6TmsYaKkoqmFV5HkUuezcaCSGEEFYwC7hScgbwDWCtUmpVy2M3aq1f7ekHWb1nFT96+weYWhOKB/E6fNy/6l7uOetepg2e3vuohchzwXiQfx78J7siuxjqHsop/U/B58i/TnshRN8YhkFxIVZKtNYroJPtMz3QHG3mR2//4KiTgkMtB7D96O0fsOCLr+LP81XHIjOC8SDv7FtBfbCO4b4yzhh4Zl584/60+VPmbZ+H1pqwDuNRHp7e+TTXj7yeY4vs3T8ghEiPQq6UpGRx9ZtdHrq2uPpNvjjm0kyHIfLMxkMb+MWm29GYhM0wHsPD49se438m/pzj+tm3sTcYDzJv+zxCbVbvh3UYNMzbPo97J9zbuh1Z5DYj2ky/HW/iaqomWlzJoRHnYcota5EmBVspSVXipODkK2tD8SA13ZwULCAQC7B81zLqArWU+cs5e+i5Bb0RNxgP8otNtxMyj/y9CpthAH6x6XYePekx21ZM/nnwn+hOknitNe8ffJ9zjpH1+7nOt2cVlcu/j9IaIx7EdPgYsmoe1Wf/lqDcshZpYGqTprC1lRKl1BzgPsAB/F5rfVe765cCt5PYBh8jMb27oqvXzHhSkjgp2Jc0MfE6fFT04KTgQra+YS03f3wjWmtCZgiv4eXRTx/mthPuZFLpFKvDs8Q7+1agMZNe05i8u28Fs4acl+Wo0mNXZFeiMpJEWIfZHdmd5YhEbxnRZiqXfx9Hm1vWRsvXv8rl32fzJQvz/nRekXmGsrZSopRyAA8C5wE1wAdKqZfabXtfDLyktdZKqanAX4Eu9ztkPCmZVXke96+6N+k1QylmVdrzm0c2BGIBbv74RoJtErrDZf2bP76RP5/1V1uuYw/EAqzY8xZ1wTrKfGWcOficXlV+6oN1rZWR9sJmmJ2h+nSFmnVD3UPxKE/SxMSjPAxxD7EgKtEb/Xa8ieqk2qW0pl/1Gxwcc1l2gxJ5x9Sa5lDyr4NZcgqwRWu9FUAp9QxwKW22vWutm9o8vwhI/g+jjYwnJUWuIu45694O0zeGUtxz1r151eSa7tssy3ct67KUv3zXMi4ov7DPr2+FDQfXceu6nx91AN8fts7nlsm3c3z/yT16jeG+MjyGJ2li4jE8DPMOT3fYWXNK/1N4eufTSf/pKqU4tf+p2Q9K9Iqrqbq1MtKeEQ/ibpRb1iJ1hlJW95SUA23/MtcAHb5AKaX+BfglMAS4qLsXzXhSAjBt8HQWfPHVxJ6SpmoqiiuZVXmepQlJuvemZOI2S12g9qiGx7ZCZoi6QG2f47VCIBbg1nU/P6ryE275/G5d93MeP+2pHvWCnDHwTB7f9ljSawqD0weemZ6ALeBz+Lh+5PUdpm+UUlw/8nppcrWBaHElpsOXNDExHT4iJXLLOl1UpAnPp3/H0bCNeOkowsd+Ee0utjqsrDC1zvT0zSCl1Idtfj+/ZXP7Ycmmcjv8OKW1/hvwN6XU2ST6S2Z39UGzkpQA+F3+nJmySffelEzdZinzl+M1vEkTE6/hpcxf3uvXtNKKPW91OYn19u63enQwn8/h438m/rzD9I3C4H8m/ty2Ta6HHVt0LPdOuJf3D77P7shuhriHcGr/UyUhsYlDI85jyKrkeya1UhyqPD/LEeUnV+0/6b/gW6A1RiyA6fRTvPw2Dl76BNHy/F9bn4VKyV6t9cldXK8B2mbYFUBdZ0/WWi9XSo1VSg3SWu/t7HlZS0pyRSb2pmTqNsvZQ8/l0U8fTnpNKcXZQ8/t9WtaqS5Y11oZaS9shqgPdfr3uYPj+h3Poyc9xrv7VrAzVM8w73BOz5M9JQBeh9cWUzZGLMCA2iV4mmsJF5VzoHwmZgFPhgGYriKqz/5th+kbrRTVZ/9WmlzTQEWa6L/gWxjR5tbHjJav6f0XfIt9//Eh2p3f49em1jSHLe0p+QAYr5QaDdQCVwJXtX2CUmoc8FlLo+uJgBvY19WLFkxScvh2zbLqpUTNaNLn9HVvSqZus/idfm474c4Ot4WUUtx2wp22a3It85XhMbxJExOP4WW4t6xXr+dz+Gw7ZZMPivatYdz7N4A2ccRDxB1eKtY/xJZT76J54FSrw7NUcPB0Nl+ykH7Vb+BurCZSUsmhyvMlIUkTz6d/h05+EERrPJ/+ndDkK7MbVJYZSlHk8Vj28bXWMaXUd4HXSYwEP6a1Xq+Uuqbl+iPA5cA3lVJRIAh8RXf2E3yLgkhK2t+u6Uxf96Zk8jbLpNIp/Pmsv3ZooLVbQgJw5uBz+MPW+UmvGUpx1pDcrwyIBCMWYNz7Nxw19uqIJ/7+j3v/Btae/1zBV0y0yy9TNhniaNjWWhlpz4gFcBzclt2ALJADlRJajpt5td1jj7R5+1fAr3rzmnmflCS7XdOZvu5NyfRtFp/TZ7spm2T8Tj+3TL69w/SNoRS3TL49b269FIIBtUtAJ98VgzYZULuUfSO7bbQXok/ipaMwnf6kiYnp9BPvPyr7QWWZ1ZWSTMn7pKSrNfft9XVvSqq3WQppY+vx/Sfz+GlP8fbut6gP1THcW8ZZQ86RhMRmPM21rZWR9hzxEJ5me02GCXsJH/tFipfflvyiUoSP/WJ2A7KAqTUBiyslmZD3SUlXa+4PS8felL7eZrFqY2uqC8xS4XP4ejRl05l8PYjPTsJF5cQd3qSJSdzhJVxkr8kwYS/aXczBS5/oMH2DUhy89Im8b3Jtpfp8Vm7OyvukpKs1907l4uShn+Pcihlp2ZvS29ssVm1sTccCM6vk60F8dnOgfCYV6x9KflEZHCifkd2ARMGJlp/Cvv/4MLGn5OA24v0P7ykpjITEYRhy+8aOulpz73a4uP3zd1q2xM2Kja3pWmBmhXw+iM9uTKefLafe1WH6BmWw5dS7Cr7JVWSHdhfl/ZRNZ+KmKbdv7CiX19xbsbE1XQvMrJDPB/HZUfPAqaw9/zkG1C5ts6dkhiQkQmSBwzDwS6XEnnJxzT1Ys7E1nQvMsi2fD+KzK9PplykbISxgmiZBqZTYVy6tuT/Mio2t6V5glk35fBBfIZEtsEKkzpBKiUg3Kza22nmBWT4fxFcoZAusEOlhmiaBiFRKRJple2OrnReY5ftBfPlOtsAKkT6GYeB3S6VEZEC2N7baeYFZvh/El89kC6wQ6ZOolESsDiPtJCkpUKkuMLN6+ZpM2diPbIEVIn0SlRK31WGkXU4kJYdP8K1prKGipIJZledR5CqMBTh2ZOfla8I6sgVWiPQxTZOgVErSr/0Jvl6Hj/tX3cs9Z93LtMHTrQ5PtGPn5WvCWrIFVoj0MQwDXx5WSgwrP3jbE3wPr4EPxYMEYoHE49HuT/YV2dWT5WtCJHN4C2zc6U9sfyVRIYm3PC5NrkL0nKk1oWg0Y7+sYmmlpKsTfE2tWVz9Zs7tFil0dl6+JqwnW2CFSA9DqbyslFialHR1gm8oHqSmqTrLEYnu2Hn5msgN6d4CK8vYRCEytZaeknTr6gRfr8NHRXGlBVH1TCAW6LBbJFvTJ1ay8/I1kX9kGZsoVFIpyYCuTvA1lGJWZW6Ofa5vWNthC+ujnz7MbSfcyaTSKVaHl1F2Xr4m8ossYxOFTColGZDLJ/h2JhALcPPHNx41fXL4QL2bP76RP5/114xtY80Vdl6+JvKHLGMThUwqJRmSqyf4dmb5rmXoTppztdYs37Usq9tZrZLq8jUhUiXL2EQhk0pJBuXiCb6dqQvUtlZG2guZIeoC8oVQiGyQZWyikEmlRABQ5i/Ha3iTJiZew0uZX74QisIVjJqsqA5S3xhjeImTMyt9+FyZWYcky9hEITu8pyTfSFLSS2cPPZdHP3046bWoGSUSDxOIBQpiEkeItjbuCXPH2/sTDdBx8Djg8VWHuOmsYzhucPpPMz28jK399A3KkGVsIu8ZSuFzuawOI+0s3ehqR36nn9tOuBOfw4fX8B51LU6cP275Pd94+yusb1hrUYRCZF8wanLH2/sJxhIJCUA4DsGYTjwe7aQhNUWHl7HVTP4eO8ddRc3k77H2/OdkHDjPqUgT3nVPU7Til3jXPY2KNFkdkkgTqZT0waTSKfz5rL+yqO4NHt38MDEda71WaJM4QgCsqA52uZ35neogs8dk5pDNdC9jE7nNVftP+i/4FmiNEQtgOv0UL7+Ng5c+QbT8FKvDyxpTa0KxWPdPtBlJSvrI5/ThcrhwKudRSclhhTSJk2uC8SDv7FtBfbCO4b4yzhh4powrZ1h9Y6y1QtJeOA71Tfn3xVNkn4o00X/BtzCiza2PGS17avov+Bb7/uNDtLswTpg3lMKbh7dvJClJgUzi5J6Nhzbwi023ozEJm2E8hofHtz3G/0z8Ocf1O97q8PLW8BInHgdJExOPA4YXy5cakTrPp3+HTipyaI3n078TmnxldoOyiNaasDS6irZkEie3BONBfrHpdkLmkcV2YTMMwP9u+DlXj/o3zh08U6omGXBmpY/HVx0COn7DMJTijEr5MxepczRsa62MtGfEAjgObstuQBZSeVopkUbXFJw99FyUUkmvKaU4e+i52Q2owL2zbwWa5A2VceI8sf2P/OfKf2PjoQ1Zjiz/+VwGN511DD6nwuNIPOZxgM+pEo9naCxYFJZ46ahOp6pMp594/1HZDchCumUkOFO/rCKVkhQcnsRpfw6OUioxoSNNrllVH6xrrYwkE9MxYjrGLzbdzqMnPSYVkzQ7brCH339xKO9UB6lvijG82MkZGdxTIgpP+NgvUrz8tuQXlSJ87BezG5CF8rVSIklJig5P4rQ/MVgSkuwb7ivDY3i6TEwANCbv7lvBrCG5eeCjnflcRsambITQ7mIOXvpEh+kblOLgpU8UTJMrSE+J6ILP6ZMpmxxwxsAzeXzbY90+L2yG2Rmqz0JEQoh0i5afwr7/+BDPp3/HcXAb8f6jCB/7xYJKSCBRKfFIpUSI3OVz+PifiT/nF5tuJ6ajSUe1ATyGh2He4VmOTgiRLtpdVDBTNp2RSokQNnBcv+N59KTHWLZnCU9s/2PSxERhcPrAMy2ITggh0qNgKyVKqceAi4HdWuvJmQ9JiNT4HD4uHHYRo/yjO+wsURj8z8SfS5OrEMLWtNZECnSj6+PAA8D/y2woQqTX4arJu/tWsDNUzzDvcE6X7a5CiDxgFGqlRGu9XCk1KguxCJF2PodPpmyEEHnH1JpwgVZKekQp9W3g2wCDBw/mg3/8I10vbYlIKMT6dautDiMl4XAEhcnGTeusDiUl8XiMLVs+sTqMlMRiEaJRqKmx99EDShlEoxGqq6utDiUlWpt89tlmq8NISTgcweky+HTzRqtDSUksGmX1yg+sDsN2DKXwOPOvLTRtn5HWej4wH2DChAl6xrnnpuulLbF02TJOPPVUq8NIyf6DjVRtXM/UE0+2OpSUfPTP95l24klWh5GS6h07adhXx7hxx1kdSkpqancTCu6z/eexcdM6pp9g779TBxqb2Fm9lSknnGh1KClZ89FHnHn2WVaHYTtmAfeUCCGEECKHGErhlkqJyLRAtJklNYuoaayhoqSCmRWz8bsKaymQELlARZrwffYKzoPbifUfSXDsRWh3sdVhCQEUcKVEKfU0cC4wSClVA9yitf5DpgMrRGv2ruInK67H1CaheAivw8sDq+/j12fOY+qg6VaHJ0TBcNd/yMDX/h20iRELYjp99P/Hney78A9Ehtv7dmhbKtKE99OXcTRsI146itCxF0viZRMFWynRWn81G4EUukC0mZ+suJ5Am2O5Q/EQAD9ZcT0vXPwy/k5OxxRCpI+KNDHwtX/HiDa3PmbEggAMfO3f2fmNd9F5UL101X1A6YKrjzpDpvjt22m49HGiZZ/r1WtJcpN9WmuihVgpEdmxpGYRpjaTXjO1yZLqRVw8+pIsRyWsEIgFWLF3OfXBOob7yjhz0NmSkGaR77NXoJN/i2gT32evEJh4RXaDSjMVaaJ0wdXtEq/ED0SlC65m77//s8dnyaQzuUlZuAnHxr+h9lehjxlN/Lh/AU9+JkeqUCslIjtqGmtaKyPtheIhapvsPYIpembDwXXctv7mxA4CM4TH8PLY1vncPOk2RvmOY+nWBmoPhinv72HGmFL8bofVIecd58HtrZWR9oxYEOfB7VmOKP28n74MWie/qDWezS8TmvSVbl8nnclNqozq93D/5augTVQ0gHb5cS26mchXnsasPC0rMWRTIW90FVlQUVKB1+FNmph4HV7KiystiCq9ArEAS2sXU9tcQ3lRBTPKZ0kFoI1ALMBt628mGD/yDTFsJv4+3LL25wS3/A+m6SYU03idiof/UccvLxzNlGH5+ZOgVWL9R2I6fUkTE9PpI9Z/pAVRpZejYVtr8tCeEQvgaNjWo9dJV3KTsnAT7r98FRVpan1IRROfn/svXyX0/bWQb7eTlEr8yjNGtj5Qc7SZFza/wL0f3csLm1+guU1mLWBmxWwMlfx/h6EMZlbOznJE6bV232queOMyHlp3H3/Z8iQPrbuPK964jLX77L2gLp1W7F2O2ckX+HDcJOpbRSiWuB6KaQJRk5+9VkUwGs9mmHkvOPYi6OTfIspIXLe5eOkozE5+IDCdfuKlo3r0OulKblLl2Pi3Lm+5OTa8mJU4skkBbqczY796FINSc5RSnyiltiilbkhy/WtKqTUtv95VSk3r7jWzkpR8tPsjZj83m19/+Gv+uP6P/PrDXzP7udl8tPujDs8t1OTF7yri12fOw+/043V4gUSFxO/0tz5uV4FYgJ+9/2OCsUBrJSgUDxFs87iA+mBda2WkPWVEUO69HR43tWbpZw0ZjqywaHcx+y78A6arCNOZOCfJdPowXUXsu/APedHkGjr24s5/ylaK8PiLe/Q66UpuUqX2V7VWRjpciwZQB6qyEkc2aSAWi2XsV3eUUg7gQeBC4Hjgq0qp49s9rQo4R2s9FbidlgWrXcn47ZvmaDPXLb7uqKmSYEtZ9LrF17H4S4vxuxJ/qT/a/RHXLb4OjSYYC+Jz+rj7w7t5cNaDnDjE3lsLe2LqoOm8cPHLvLbtFd6rfwcNfH74GYzrP97q0FKytHYxupOfYrQ2WVq7hC+M7NkXwXw23FeGx/AmTUy06UZHBnV4PBTT1B6MZCO8ghIZfjI7v/Fuxz0leZCQQCLxarj08Q4NqihFw6WP97gPJHTsxRS/fXvyi71IblKljxmNdvmTJiba5UcPGJ2VOLJJAS5rG11PAbZorbcCKKWeAS4FNhx+gtb63TbPfw+o6O5FM/4Zvb7tdTTJS9IazcJtC5k7fm6vkpd8tqXhUx5d93DrrpI1e1fx6LqHbb2rpLa56ybeuuaaLEeUm84cdDaPbe3sBwlF9NDUDo96nYry/u7MBlagtKvI9lM2XYmWfY69//5PPJuPjPKGx1/cq8bUdCU3qdL9yqGTSgnKIH78ZR0ft/mkjgaicUtv3ZYDbScwaoCuzmb5d+C17l4040nJjsYdrclFe8FYkOrGxOfU0+Qln+XrrpLyoq6beMuKuk2eC4Lf6efmSbd1mL5RKJprrgbt6fA+hlLMGFua9VhFftDuopQbUdOR3KQk3IT7hX8n2c0oDUTmPtahyTUfJnUU4HJkdPpukFLqwza/n99yxl3bENpL+k1cKTWDRFJyZncfNONJyYiSEficvqSJic/po7IkMVXS0+Qln+XrrpIZ5bN4eP39Sa8pZTCjfGaWI8pdx/efzB9PfZIVe9rsKRl8NlvGxvnZa1WYWrdO3xhK8csLR+NzyViwsFY6kpu+6rLJ1elDHWp3MneeTOpkoVKyV2vd1friGqDtWGgFUNf+SUqpqcDvgQu11vu6+6AZT0ouGHUBd394d9JrCsWcUXOAnicv+Sxfd5X4nX5+eerd/Oz9H6PbrNBXyuCXp96Nz4bVn0zyOXycN+yCox6bMgye/frxLP2sgdqDEcr7u5kxtlQSElHwumxyjQU7NLn2ZFInPv3r6Q4z7bJQKenOB8B4pdRooBa4Eriq7ROUUiOAF4BvaK0/7cmLZjwpKXIV8eCsBzs0sCoUD856sLVPpKfJSz7L510lUwZO49nzX2Rp7RLqmmsoK6pgRvlMSUh6wedy8IWJA60OQ4ic0tsm13yZ1LG6p0RrHVNKfRd4HXAAj2mt1yulrmm5/ghwMzAQeEglpr1i3VRfsrM87cQhJ7L4S4tZuG0h1Y3VVJZUMmfUnKMaV3uavOSzmRWzeWD1fUmv5cOuEp/TL1M2Qoi0ih/3L7gW3Zz8YpIm13yZ1MmBSgla61eBV9s99kibt/8D+I/evGbW5on8Ln+3jao9SV7y2eFdJe1PCjaUYftdJUIIkRGeYiJfebpD4yrKIPKVpzv0h/Q2iclVGohZO32TETm3Zr4nyUs+O7yrZEn1ImqbqikvrmRm5WxJSIQQohNm5WmEvr8Wx4YXUQeq0ANGJ5KLZA2rvUxiclUuVEoyIeeSkkITiDazpGYRNY01VJRUMLNiNn5XkS2nbHpLzsIRQqSNu7jHDaq9SmJylAZiZicNuzYmSYmF1uxd1eFWzQOr77P1orSeWrtvdYdpnIfX388vT72bKQO7PR5BCJFmKtKE99Mju0ZCx16MttE36V5LlsTYaKGaUgqnVEpEuuTrorSeCCQ58+bw5/6z93/Ms+e/KFM5QmSRq+6DDltZi9++nYZLHyda9jmrw8sKuy1U01rnZU9J1k4JFkfryaK0fNWTs3CyLRAL8Fr1y/x+0+94rfrlo5JFIfKZijRRuuBqjGhz64m/RiyAEW2mdMHVqEgBHIraZqHa4akcFQ2gIonHabNoLVccrpRk6pdVslIpaY428/q219nRuIMRJSO4YNQFFOXJwVZ9la+L0noi187CWbd/Df/zwQ1ojtxKemTDQ/zic3cx+ZiO580cFogFeKt+CbXNtZQXlXPO8Jl5W90S+cv76cugkx/xgdZ4Nr9s2bbWbLHjQrV8rZRkPCkp9JN/O5PPi9K6k0tn4QRiAf7ngxsIxjveSvqfD27gmVnPJb2V1NdERohc42jY1lohac+IBXA0bMtuQBbo0UK1HOs3ydeekozevml78u/h9fHBWJBALJB4vLNTHQvAzIrZGCr5H38+LErryozyWahOPvdsn4XzVv0SNJ3cSsJkWf3SDo+3TWQOJzCheIhgvOVxufUjbCReOipxsm8SptNPvHRUdgOywOGFakmvufygNd77p+B68yZc792P682b8N4/BaP6vSxH2jYwTdw0M/bLKhlNSnpy8m+hOrwoze/043V4gUSVwO/05/2itMNn4fjafe6+No9nS21zbTe3kmo7PN6XREaIXBU69mJQyQ58TQiPz/8tzPHj/gU6+UEJFM6PHsu9fhOlcBpGxn5ZJaO3b+Tk364V8qK0XDkLp7yovJtbSeUdHu9LIiNErtLuYhoufZzSv30DFQ+1nkef+HHSxLl3Q/5P4HSxUC124tU4Vz6W/P2s7DdpqZTkm4wmJXLyb/f8Tn9BLEpLJhfOwjln+Ewe2fBQ0msKg3OHz+jweF8SGSFyWWzQcWA4UG36JhWgYiFKF1zN3n//J9qd38MJnS1Uc66Yl7sH+HVe4LKtjNZoLhh1AaqTP7VCOflX5Da/088vPncXPke7W0mOlsed/g7jwqcMPg2zk2kFU+ukiYwQuawnEzgFoWWhWmzGzxPVD3dxt/0mlh3gpxQOw8jYL6tktFIiJ/8KO5j8/7d39zFSlVccx7+/3VnYnbVCK32BxUYwVkttU421LyZUQJsiRG1DUBr7R2NiY6jR9o+mNmka0z9M06ZpEykJEatNKRRBE+srBpdqY0UERRBoVXzpLlgQCxYp7i57+sfcoQvsjDN3585z753zSSa87Gb2PBlmOfs8zznnI59j1Zw1bNjby573+pnS3cOlk2fRVSiOXmXDkop9VnL4g4trAV6BU1lqB/iZMTxcIZHMsMRLglt98q/Lhq5Ckblnzjvh76qVC1ciiQ17e095LufSrFyBM1pi0ioVOBWldICfop2SvGlK87RQk3+TbtpWaZieG13WBvBVq7KpxC+6uiw6+qn5nPbUz0b/oNQSFTjVpHGAn/lF1+QkkTwk3bStlYfpxZHFAXzVqmwq8YuuLosKb++E4WMYnFB9Y4VODl51d/MuuaasQdkJ6phC3Ay+U5KQJJKHkU3bysoVQIvXL2b9gvVjOj5q5WF6cSQxgK8ZLd6rVdlUUqlix7m0Oj775qR/5wKMNoYmzWhKHFkbiBdaXndKgqZZSXV8TbppWysP04uj2gC+oWOD3PbcT3jojT/XPARv+zsvsmj9ApbuuIPVu1eydMcdLFq/gO3vvNjIsPnq5NmowltkfNt4Otu6KlbsOJcVVStvoDmVNxkciBeaclp9EzQpSSp5SLppWysP04uj2gC+QRtk076N/Hb7b1i47mq2Hdha9bma2eK9Wrnw7Rf/gj9dtpYbZ9zENdO/xY0zbmLVnDU+98ZlThoqb2oZiOdOZGYMDw8n9ggl6PFNUslD0k3bWnmYXhzVBvCV1XqcU0uL90ZWvlQrFwa8ysZlXhoqb2oaiOdOIIm2HN4pCbqicvIwmrEkD0k3bWvlYXpxVBvAdzKzYXr7n6j48RAt3svlwtefdwNzz5znxzMpcGTgGA/tOsCyjXt4aNcBjgzkb4R7s1SdfdOkypvUNihLMaO0W5LUI5SgSUlSyUO5aVuxUDye9HQVuigWig1p2tbKw/TiGG0AXyWlxKKv4sfLl09H45UvrWHbW4dZuGIHS57uZ9XW/Sx5up+FK3aw7S2/dxBHefbNcEf38WnBw4Uiwx3dTau8qToQL2SDshQT0CYl9ggl6PFNkh1fk27a1srD9OIYOYDvyb0beH7/cwzZ0CmfV0osplZ8njizalx+HBk4xq2PvMaRwf8f4R0dMsC49ZHXuPe6GXR1tIcLMKMGp3yBt69/lvEvP0j7wdc5NvEs3j9nfvNKgVPaoCzNDOrsopQNwUuCk0wekm7a1srD9OIoD+C7tGc2C9ddzdDQqUmJ1MasntkVn6N8+fTk1u+izStfWkDv7oNV5w71vnqQK847o8lR5YON6+boZ64J9vXT2KAszco7JXkTPCmBcB1fXRjl45yTm6lJbcePear5oMunLr/6D70f7Yyc6uiQ0X9ooMkRuYZKWYOyNDOomKBnWSqSkrFKup28a7yRxzl73utjSvdUZvXMrjmxGG1Wjcu/ngnj6Sxo1MSksyB6JowLEJVzzec7JSmVdDt5l5zycY5ztZo1fSJL/7YHRulv1CYx6+yJTY/JuVBCVskkJdNFzkl1hHXOpVNxXDu3z51GsaONzkLpp8TOgih2tHH73Gl+ydW1FK++SZlaOsL6XRXn8uWznziNe6+bQe+rB+k/NEDPhHHMOnuiJySu5eRxpyTTSUnS7eSdc+nU1dHuVTau5cnvlKRL0u3knXPOubTK405Jpu+UJN1O3jnnnHPNU1NSIunrkv4u6RVJP0o6qFol3U7eOeecSytJiT1C+cDjG0ntwBLgcqAP2CTpATPbkXRwtUi6nbxzzjnnmqOWOyUXA6+Y2W4ASauAq4BUJCXgHWGdc861njxedK3l+KYHGFnG0hf9nXPOOedcw9SyUzJaKnbKlV9JNwA3RH98v729fftYAkuBScDboYNogDysIw9rAF9HmuRhDZCPdeRhDQDnNvOLbd68+TFJkxL8EkFek1qSkj5gZG3tVGDPyZ9kZsuAZQCSnjOzixoSYSB5WAPkYx15WAP4OtIkD2uAfKwjD2uA0jqa+fXMLJflpbUc32wCzpE0TdI44FrggWTDcs4551yr+cCdEjMbkvQ94DGgHbjLzF5KPDLnnHPOtZSaOrqa2cPAw3U877J44aRKHtYA+VhHHtYAvo40ycMaIB/ryMMaID/rCEp5bFPrnHPOuezJdJt555xzzuVHQ5OStLajr4ekuyTtk5TZkmZJZ0rqlbRT0kuSbg4dUxySOiU9K2lrtI7bQscUl6R2Sc9LejB0LHFJel3SNkkvNLvSoJEkTZS0RtKu6D3y5dAx1UPSudFrUH68K+mW0HHFIen70Xt7u6SVkjpDx1QvSTdH8b+U1dchTRp2fBO1o/8HI9rRA4vS0o6+VpJmAoeB35vZ+aHjiUPSZGCymW2R9CFgM3B1Bl8LAd1mdlhSB/BX4GYzeyZwaHWT9APgIuB0M5sfOp44JL0OXGRmme4pIeke4CkzuzOqKCya2cHAYcUSfd/tB75oZm+EjqceknoovadnmNl/Ja0GHjazu8NGVjtJ5wOrKHU+HwAeBW40s5eDBpZhjdwpOd6O3swGKL1QVzXw+ZvCzJ4E3gkdx1iY2V4z2xL9/j/ATjLYhddKDkd/7IgembsEJWkqMA+4M3QsrU7S6cBMYDmAmQ1kNSGJzAFezVpCMkIB6JJUAIqM0gMr5T4NPGNmR8xsCPgL8I3AMWVaI5MSb0efQpLOAi4ANgYOJZbo2OMFYB/wuJllcR2/Bn4IDAeOY6wMWCdpc9TBOYumA/uB30XHaXdK6g4d1BhcC6wMHUQcZtYP/BJ4E9gLHDKzdWGjqtt2YKakMyQVgSs4sdmoq1Mjk5Ka2tG75pF0GrAWuMXM3g0dTxxmdszMPk+pk/DF0XZpZkiaD+wzs82hY2mAS8zsQmAusDg66syaAnAhsNTMLgDeA7J6/20ccCVwb+hY4pD0YUq76dOAKUC3pOvCRlUfM9sJ/Bx4nNLRzVZgKGhQGdfIpKSmdvSuOaI7GGuBFWZ2X+h4xiraYt8AZK218iXAldF9jFXAbEl/CBtSPGa2J/p1H3A/pSPbrOkD+kbsuK2hlKRk0Vxgi5n9K3QgMV0GvGZm+81sELgP+ErgmOpmZsvN7EIzm0np6N/vk4xBI5MSb0efEtEF0eXATjP7Veh44pL0UUkTo993UfomtitoUHUys1vNbKqZnUXpPfGEmWXqp0EASd3RpWmi446vUdq6zhQzewv4p6Ty8LQ5QKYugI+wiIwe3UTeBL4kqRh9z5pD6f5bpkj6WPTrJ4Fvku3XJLiaOrrWIi/t6CWtBC4FJknqA35qZsvDRlW3S4BvA9ui+xgAP44682bJZOCeqMKgDVhtZpktqc24jwP3l/7voAD80cweDRtSbDcBK6IfnnYD3wkcT92i+wuXA98NHUtcZrZR0hpgC6Ujj+fJZlfUtZLOAAaBxWb279ABZZl3dHXOOedcKnhHV+ecc86lgiclzjnnnEsFT0qcc845lwqelDjnnHMuFTwpcc4551wqeFLinHPOuVTwpMQ555xzqeBJiXPOOedS4X/wUZsDG4A/DAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "w_x, w_y = zip(*[som.winner(d) for d in data])\n",
    "w_x = np.array(w_x)\n",
    "w_y = np.array(w_y)\n",
    "\n",
    "plt.figure(figsize=(10, 9))\n",
    "plt.pcolor(som.distance_map().T, cmap='bone_r', alpha=.2)\n",
    "plt.colorbar()\n",
    "\n",
    "for c in np.unique(target):\n",
    "    idx_target = target==c\n",
    "    plt.scatter(w_x[idx_target]+.5+(np.random.rand(np.sum(idx_target))-.5)*.8,\n",
    "                w_y[idx_target]+.5+(np.random.rand(np.sum(idx_target))-.5)*.8, \n",
    "                s=50, c=colors[c-1], label=label_names[c])\n",
    "plt.legend(loc='upper right')\n",
    "plt.grid()\n",
    "plt.savefig('resulting_images/som_seed.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To have an idea of which neurons of the map are activated more often we can create another pseudocolor plot that reflects the activation frequencies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7, 7))\n",
    "frequencies = som.activation_response(data)\n",
    "plt.pcolor(frequencies.T, cmap='Blues') \n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When dealing with a supervised problem, one can visualize the proportion of samples per class falling in a specific neuron using a pie chart per neuron:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 74 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "labels_map = som.labels_map(data, [label_names[t] for t in target])\n",
    "\n",
    "fig = plt.figure(figsize=(9, 9))\n",
    "the_grid = gridspec.GridSpec(n_neurons, m_neurons, fig)\n",
    "for position in labels_map.keys():\n",
    "    label_fracs = [labels_map[position][l] for l in label_names.values()]\n",
    "    plt.subplot(the_grid[n_neurons-1-position[1],\n",
    "                         position[0]], aspect=1)\n",
    "    patches, texts = plt.pie(label_fracs)\n",
    "\n",
    "plt.legend(patches, label_names.values(), bbox_to_anchor=(3.5, 6.5), ncol=3)\n",
    "plt.savefig('resulting_images/som_seed_pies.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To understand how the training evolves we can plot the quantization and topographic error of the SOM at each step. This is particularly important when estimating the number of iterations to run:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "som = MiniSom(10, 20, data.shape[1], sigma=3., learning_rate=.7,\n",
    "              neighborhood_function='gaussian', random_seed=10)\n",
    "\n",
    "max_iter = 1000\n",
    "q_error = []\n",
    "t_error = []\n",
    "\n",
    "for i in range(max_iter):\n",
    "    rand_i = np.random.randint(len(data))\n",
    "    som.update(data[rand_i], som.winner(data[rand_i]), i, max_iter)\n",
    "    q_error.append(som.quantization_error(data))\n",
    "    t_error.append(som.topographic_error(data))\n",
    "\n",
    "plt.plot(np.arange(max_iter), q_error, label='quantization error')\n",
    "plt.plot(np.arange(max_iter), t_error, label='topographic error')\n",
    "plt.ylabel('quantization error')\n",
    "plt.xlabel('iteration index')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that in the snippet above we have to run each learning iteration in a for loop and saved the errors in separated lists."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
